Innovative Design Solutions Research Articles

Deep Analogical Generative Design and Evaluation: Integration of Stable Diffusion and LoRA

Abstract The rapid evolution of generative design through artificial intelligence has opened new avenues for innovative product styling. Integrating this efficient generative technology with established professional theories presents a novel challenge in contemporary international design research. In response to this challenge, this paper introduces a pioneering and collaborative approach for the swift generation of automobile styling designs. The primary objective is to investigate an intelligent generation method that incorporates analogical reasoning and Stable Diffusion to support industrial designers in innovating product styling. This study scrutinizes traditional analogical reasoning design alongside the intelligent analogical reasoning design proposed herein, elucidating the distinctions through multidimensional comparisons using illustrative examples. The proposed methodological framework encompasses several key steps. Initially, a dataset comprising branded automobile images is meticulously constructed. Subsequently, an exclusive style model is trained leveraging Stable Diffusion techniques, coupled with advanced computer graphics and machine learning methodologies. Following this, design requirements are inputted, facilitating intelligent analogical reasoning design across multiple spatial dimensions to yield diverse and innovative automobile styling solutions. Finally, eye-tracking experiments are conducted to quantitatively compare the traditional analogical reasoning design approach with the Stable Diffusion-based analogical reasoning design method. The results substantiate that the latter effectively generates innovative and diversified automobile design solutions. This research contributes to enhancing the quality of automobile styling design, optimizing the design efficiency of enterprises, and catalyzing innovation in the automobile styling design process.

Environmental Design Teaching with the Integration of Traditional and Modern Techniques

Background: Environmental management considers the architecture in design, planning, programming, or manufacturing. It intends to create places that recover the cultural, social, ecological, and physical architecture of certain locations. However, traditional teaching methods are indeed employed. Modern technologies serve as supplemental tools. The current method of instruction is a step toward contemporary technology.Objective: Examining environmental design training using conventional and contemporary techniques was the aim of the study. Method:We collected survey data for this investigation. 400 students completed and submitted the questionnaire. Statistical Package for Social Sciences (SPSS) software was used to present the data. The research examines well-known visualization tools and traditional contemporary presentation techniques.Result: According to the study, architecture students rated modern technologies more satisfactory than traditional methods, indicating higher quality facilities and services. Modern technology in Environmental Design Teaching enhances learning experiences by reducing time consumption (65%), increasing efficiency (85%), offering flexibility (65%) and improved visualization (90%), and facilitating better documentation (80%), leading to higher student satisfaction (87%).Conclusion: Integrating traditional and modern architectural design techniques enhances learning experiences and efficiency, resulting in more effective and innovative design solutions through advanced tools and methods.

Computer Models Assist Innovative Design of Graphic Arts

In order to study the theory and application of computer aided design (CAD) related to the composition of art, the theory of symbolic matrix was introduced to realize the purpose of the study of the interaction between perceptual and rational problems. In this paper, the original image was extracted from the design object, and the transformation between the original image and the symbol matrix was realized by the correspondence with the elements in the matrix. Based on the research route, four kinds of mathematical models were established, namely random distribution, symmetric distribution, central diffusion, and reorganization. By applying the mathematical model constructed in this paper, the picture was transformed, the combination of various styles of graphics was added, and how to put the simple image picture into a meaningful integrated image picture was discussed. The computer-aided design method of the existing verification examples was summarized in this paper, and the design method was accurate and effective. Compared with traditional graphic art design methods, the computer-aided design method mentioned in the paper has the following advantages. Computer-aided design can quickly process and analyze images, convert and combine them through mathematical models and algorithms, greatly saving designers time and energy. By introducing symbol matrix theory and establishing various mathematical models, computer-aided design can provide diverse graphic combinations and style transformations, helping designers explore more innovative design solutions.

Machine learning analysis/optimization of auxetic performance of a polymeric meta-hybrid structure of re-entrant and meta-trichiral

In the ever-evolving field of materials science, the quest for innovative design solutions continues. One such area of research is the optimization of auxetic performance in meta-hybrid structures. This study delves into the application of machine learning analysis to enhance the properties of a specific meta-hybrid structure combining re-entrant and meta-trichiral designs. The polymeric meta-hybrid structure is subjected to finite element (FE) analysis to determine its Poisson's ratio. Various machine learning methods, such as linear, quadratic, and non-linear approaches, are employed to accurate forecast the Poisson's ratio of the polymeric meta-hybrid structure. Although both linear and quadratic machine learning algorithms have shown some success in predicting Poisson's ratios, they cannot be considered outstanding. As a result, a non-linear machine learning algorithm has been developed to enhance the accuracy of Poisson's ratio prediction. The results indicate that non-linear machine learning techniques out performs both linear and quadratic methods when it came to predicting Poisson's ratio. Specifically, the non-linear model achieved an impressive R-sq value of 93.68%, demonstrating its exceptional accuracy and overall excellence in fitting the data. The optimum conditions for the meta-hybrid structure are determined to be a thickness of 4.35 mm, a temperature of 15 °C, and a strain rate of 1%. Under these specific parameters, the Poisson's ratio of the meta-hybrid structure is measured to be −3.899, well outside isotropic stability limit but acceptable for auxetic structures.

Concept of flexible no-code automation for complex sample preparation procedures

Driven by demographic changes and dwindling Science Technology Engineering Mathematics enrolments, our research introduces no-code automation as a strategic response, aimed at mitigating labor shortages while enhancing productivity and safety in the laboratory environment. Employing a user-friendly, no-code software platform, we automated a complex HPTLC assay, enabling laboratory personnel to configure and modify workflows without requiring specialized programming skills. The manuscript outlines the deployment of a collaborative robot (cobot), a programmable logic controller (PLC), and the utilization of self-developed open-source hardware components to establish automated stations for sample handling, incubation, spraying, detection, and storage within the assay process. The research addresses challenges such as the handling of fragile HPTLC plates and the seamless integration of automated stations, solved through innovative design solutions and adaptive programming methods. This investigation demonstrates the feasibility and efficiency of no-code automation in overcoming skilled labor deficits.

Community‐based participatory research for urban regeneration: Bridging the dichotomies through the exp‐EIA method

AbstractUrban environment design profoundly influences citizens' health and well‐being. Despite the aim of urban regeneration initiatives to enhance community well‐being and social connections, they often struggle to ensure a balance of power among stakeholders, effectively involve citizens, and accurately assess subjective urban experiences. New methodological approaches in community‐based participatory research (CBPR) are advocated to facilitate interactions among social actors and overcome the digital versus real dichotomy. This article introduces the Experiential Environmental Impact Assessment (exp‐EIA) method as a novel research and intervention tool to address these challenges. Grounded in psychology, exp‐EIA aims to integrate emotional, cognitive, and community identity dimensions to capture the nuanced experiences of urban environments. Through digital data collection and visualization tools, exp‐EIA could facilitate participatory decision‐making processes across various stages of urban regeneration projects. Furthermore, its adaptability enables significant integration with existing participatory methods, fostering inclusive engagement and innovative design solutions. The theoretical framework of exp‐EIA, its application in CBPR, and its potential to bridge the gap between technological innovation and citizen engagement in urban regeneration processes are discussed. A blended case study conducted in the metropolitan area of Milan (Italy) is presented, highlighting a promising pathway towards more inclusive and effective approaches to community revitalization.

Penerapan Metode Design Thinking untuk Perancangan UI/UX Website MARQETIQ

In the rapidly evolving digital era, the digital marketing service industry in Indonesia faces the challenge of providing more effective and relevant solutions amid intense competition. This research utilizes the Design Thinking methodology to develop the UI/UX of the MARQETIQ website, aiming to enhance user experience by offering digital marketing services tailored to clients' specific needs. Through the five stages of Design Thinking: Empathize, Define, Ideate, Prototype, and Test. The researchers gained deep insights into user needs, formulated key problems, and created and tested innovative design solutions. The research findings indicate that this approach successfully resulted in a more intuitive and responsive website, facilitated the ordering process, and improved client satisfaction and loyalty. These findings demonstrate that applying the Design Thinking approach can significantly enhance user experience and the relevance of services in a digital marketing platform..

Hurst Castle: collapse, stabilisation and future

Hurst Castle, a Henrician artillery fort with two Victorian wing batteries and scheduled monument, sits on the end of a shingle spit at the entrance to the Solent. Changes in long shore drift, increasing sea levels and more frequent storms led to the collapse of a section of the nineteenth century east wing battery in February 2021. The vaulted masonry structure of the west wing battery also sustained significant structural damage. English Heritage have since embarked on an ambitious project to attempt to stabilise the castle. A new permanent revetment to protect the most vulnerable area in front of the east wing and geotechnical investigations to allow the severely damaged west wing to be assessed and repaired have already been completed. The health and safety challenges and complex access, either by way of boat or along the mile-long shingle spit, have required the adoption of innovative design solutions and complex monitoring arrangements. Funds permitting, the next phase of works will include permanent structural repairs to the west wing along with further coastal protection work to ensure the longevity of the castle. However, before this can begin, complex questions around the future of the spit and the implications of climate-related loss in the long term must be answered.

Experimental and numerical study on mechanical properties of a modified type of energy-dissipative hold-down for CLT structures

The connections ensure lateral and shear resistance in CLT buildings, facilitating crucial interactions between walls and floors. CLT connectors are widely used at present and take strength as the control index, but they have poor energy dissipation performance and are not suitable for middle- and high-rise buildings in earthquake-prone zones. This study proposes a modified version of an existing energy dissipative hold-down connection that rectifies its flaws by incorporating innovative design and material solutions. An experimental study is conducted with quasi-static monotonic and reversed cyclic loading tests to investigate modified hold-down connection failure mechanisms and mechanical properties. Notable failure modes included steel rib ruptures and debonding between rubber and steel plate, with steel rib rupture as a dominant failure mechanism. Despite such failures, the connection maintained functionality, attributed to the effective bonding between the rubber and the steel bracket. The load-displacement curves of the hold-down exhibit a bi-linear pattern with the yielding point caused by the yielding of steel ribs. Almost all the specimens were classified as highly ductile, with ductility values exceeding 9.0 and an equivalent viscous damping ratio between 10 % and 18 %, indicating significant ductility and energy-dissipative capabilities. Furthermore, a simplified FEM model of the modified hold-down is established using ABAQUS software and validated against the experimental results. In addition, a parametric study was conducted to investigate the influences of modified design parameters on the mechanical properties and failure modes. The results of the comparison between the test and FEM model show the robustness of the proposed model in estimating the initial stiffness, post-yield stiffness, and yield force. Ultimately, the modified energy dissipation hold-down effectively rectifies former design flaws over its previous version, resulting in significantly improved performance, high energy dissipation capacity, and ductility by mitigating the brittle failures. This study provides a technical solution for future research to enhance the seismic resilience of modern high-rise CLT buildings through the real-world implementation of this type of modified hold-down connections.

Sustainability in design: Sustainable fashion design practices and environmental impact using mixed‐method analysis

AbstractSustainable fashion design arises as a crucial reaction to the industry's fashion necessity for environmental influence reduction and addressing sustainability challenges effectively. This study examines the nuanced dimensions of this pursuit and its influence on the industry's environmental performance. Through a mixed‐method research approach involving 268 designers and 159 participants included in the interview process (fashion experts, entrepreneurs, and business strategists), the investigation explored the efficacy of eco‐friendly practices in enhancing overall sustainability. The findings underscore significant improvements in environmental performance metrics for fashion companies embracing sustainable design practices, revealing a direct correlation between such practices and a reduction in carbon footprint. The study identifies key drivers prompting fashion businesses to invest in innovative sustainable design solutions, particularly in response to sustainability challenges and consumer demand for eco‐friendly products. Collaboration with eco‐conscious suppliers and transparent supply chain practices is pivotal for effectively addressing sustainability challenges. Besides, the research underscores the significance of incorporating principles of circular economy, including recycling and upcycling, to augment environmental performance within the fashion sector. By offering practical insights and theoretical reflections, our research enriches the discourse on sustainable fashion (SF), guiding industry stakeholders, policymakers, and researchers aiming for a sustainable and ethical future.

ANALYSIS OF THE DEVELOPMENT OF GONDOLA CAR BODY STRUCTURES

The article is devoted to the analysis of promising directions for the development of gondola car body structures. It considers the history of the emergence of gondola cars as a separate type of railway rolling stock. The authors systemise the design of gondola cars and discuss the advantages and disadvantages of various designs. The study has shown that the manufacture of the two-axle gondola cars began in the second half of the 19th century. They were designed mainly for transporting coal and iron ore, with their bodies made of wood. Further design improvement led to the appearance of four-axle gondola cars with increased load capacity. Rolled metal began to be used in body structures to improve strength. Particular attention in the article goes to analysing the results of innovative design and technological solutions intended to enhance the efficiency and reliability of body structures. The research indicates that attempts to replace steel with aluminium alloys in manufacturing bodies did not yield results. The reason is the high cost of aluminium and the labour-intensive manufacturing. A promising direction is the use of low-alloy steels 10KhSND and 10KhNDP. For many years, there has been a trend in the railcar-building industry toward producing higher-load gondola cars. It requires increasing the axle load to 25 tons. However, implementing such cars necessitates a substantial restructuring of the railway infrastructure. We consider the design features of innovative domestic gondola cars in detail. The latest technical solutions for the body frame, efficient materials, and components with improved performance have doubled the overhaul mileage. The article analyses the North American experience of gondola car construction and operation. It shows that some models of American gondola cars use longitudinal cylindrical boxes to increase the body volume and reduce the car’s centre of mass. They are on both sides of the girder beam and occupy the space between the carts. Aluminium alloys are also widely used: the frame and lower part of the body are steel, and the side and end walls are aluminium alloy. Keywords: gondola car, body, girder beam, pivot beam, side walls, hatch cover, reliability.

Innovative eco-friendly design solutions for energy demands using swirl- induced burner by jets

Addressing the need for innovative burner designs to optimize combustion characteristics and meet energy efficiency goals, this study introduces a novel concept rooted in swirl-induced flames. The proposed burner employs a unique approach to generate air and fuel swirl using four opposing slots in two sets, each set at distinct angles. Incorporating of a channel within the outer casing allows for fine-tuning of entry angles, optimizing the double swirling process. The objective of this research is to enhance combustion characteristics through the implementation of the swirl principle, introducing a tangential velocity component to the airflow or fuel-air mixture upon entry into the burner. Systematic measurements at various entry angles (0°, 15°, 30°, 45°, and 60°) are conducted to identify optimal or near-optimal conditions. The research covers a comparison between flow fields generated by traditional swirled vanes and swirl-induced injection ports at identical inlet conditions, revealing enhanced flame stability and combustion efficiency in the latter configuration. The formation of recirculation zones around the burner, facilitated by increased outer air jet velocities, promotes better mixing and stability. This research contributes valuable insights into burner design and optimization, with implications for improved combustion efficiency and environmental sustainability.

Diminishing benefits of thermal mass in Iranian climate: Present and future scenarios

Thermal mass, a pivotal element in a building's performance, functions as an indoor thermal buffer. While literature underscores its advantages, the enduring impact of thermal mass amid climate change remains uncertain. This study methodically assesses thermal mass effects in 21 Iranian cities across contemporary and future climates, juxtaposing heavyweight and lightweight constructions. The EPSAP algorithm, a generative building design method, created a dataset of two-story single-family houses. Cooling and heating demands were evaluated in EnergyPlus, accounting for current and future system design efficiencies. Future climates were simulated using EC-Earth3 model estimations for the SSP5-8.5 scenario in 2050 and 2080 timeframes. The findings reveal that the energy efficiency advantage of heavyweight over lightweight buildings will diminish by up to 0.60 kW·h·m−2 in 2050 (40 % less than the present-day climate difference between constructions) and 0.93 kW·h·m−2 in 2080 (63 %) for cities in central and southern regions. The performance differences between constructions will sometimes be null, making thermal mass negligible. Conversely, only three cities in Northern Iran exhibit an opposing trend for mid to very-high thermal transmittances. Regarding building geometry, heavyweight construction correlates strongly with indexes related to building compactness, while lightweight construction aligns more with glazing-related indexes. However, as climates warm or we move towards warmer regions, discernible differences between lightweight and heavyweight constructions vanish for both shape- and glazing-related indexes. In conclusion, although the use of thermal mass will be less effective, building design professionals will have greater latitude for innovative construction and design solutions.

Rehabilitation Of The Afsluitdijk

The ‘Afsluitdijk’ is a 32 km long dam, which divides the Wadden Sea from the Lake IJssel. The dam has been rehabilitated by increasing the crest level to reduce the wave overtopping and reinforce the armour layers on the seaward and lake side of the dam. The Dutch Ministry of infrastructure and Water Management (Rijkswaterstaat division) commissioned Levvel, a consortium of BAM, Van Oord and Rebel, to carry out this renovation. Rijkswaterstaat encouraged contractors to offer innovative design solutions for the rehabilitation works as the dam is one of the icons in Dutch hydraulic engineering history. Levvel proposed two new armour materials to protect the dam against wave action and reduce the wave overtopping over the crest. A combination of Quattroblocks® a product of Holcim Coastal and Levvel-blocs, internationally known as Xblocplus® by BAM have both been introduced for the first time for the design of the dam. The application of innovative materials and/or techniques may incorporate uncertainties and because of the Afsluitdijk is one of the primary sea defenses preventing the Netherlands for flooding the contract included requirements for the Contractor to carry out physical model tests on the main failure mechanisms of the dam. Besides the contractual requirements, Levvel also used physical model tests to optimize the armour elements and the geometry of the dam. The verification of the design has been carried out with large scale 2D physical model tests in the Delta Flume of Deltares and small scale 2D model tests have been used to optimize design solutions.

Innovative Coastal Structure Solutions And The Role Of Physical Modelling In The Design Process (Dawlish Mog2 Casino)

With the increase in storminess due to climate change induced sea level rise, coastal protection solutions need to be able to contend with larger storms, resulting in larger incident waves, on a more regular basis. Many traditional coastal protection systems like vertical seawalls are proving to be expensive to design for the increased overtopping associated with this change in coastal conditions. As such, engineers are developing more bespoke and innovative design solutions, such as the use of bullnoses and the use of multiple seawalls located one behind the other. Examples of the former can be found in the new Dawlish seawall (see Figure 1) built to replace the old seawall that was damaged during a storm surge in February 2012. For the later, recent examples include the Middelkerke CASINO stilling basin (see Figure 2) and the new energy island being developed by Elia in Belgium (MOG2). The latter consists of two vertical seawalls (see Figure 3), each with a bullnose to reduce overtopping rates. CASINO and MOG2 have in common the novel approach of allowing significant overtopping of the first seawall but instead using the second wall as the safety line, to ensure safe overtopping limits are achieved at this location, thus reducing the required height of the front wall. Moving towards alternative design solutions is associated with its own set of design challenges. The primary challenge is the lack of consistent design guidelines within the field of coastal structures. In Europe, EurOtop is commonly used for overtopping estimates in design (van der Meer et al., 2018). In the US, the Coastal Engineering Manual is used instead (USACE, 2002). Both of these guidelines rely on empirical equations and the variations between the two are primarily a question of preference. However, the empirical equations can have large variations in their solutions (a factor of 3 for the overtopping rate is commonly accepted), the value of which can be heavily dependant on the geometric configuration being used for the seawall, toe protection and bathymetry, limiting their applicability to novel solutions. There is limited research currently available investigating novel geometries such as bullnoses (Dong et al., 2021, Castellino et al., 2018) and stilling basins, and much of the existing literature is limited in scope, thus limiting its wider applicability. In the case of MOG2 and CASINO, the use of the two seawall configuration, combined with drainage solutions, means that there is no suitable guidance in neither of the aforementioned design guides. As a result, coastal designers often turn to physical modelling in order to identify the specific design loads and overtopping values of their proposed design. Physical modelling performed in collaboration with research organisations allows design engineers to benefit from the expertise of researchers working with state-of-the-art techniques informed by the most recent research. However, the physical modelling phase is often not fully integrated into the design process meaning that is it not fully utilised. Integrating physical modelling fully into the design cycle can help to optimise the design as well as identifying the structural loading and verifying the overtopping performance.

USING PROGRAMMING TECHNIQUES TO GENERATE THREE-DIMENSIONAL GRAPHIC DESIGNS FOR CITIES IN IRAQ

The three-dimensional technologies represent a revolution in the field of design, with a significant contribution expected to the development of design communities. These technologies accelerate several processes that graphic designers may address, helping them find innovative design solutions. Graphic designers can save a lot of time by using threedimensional techniques to generate the required designs quickly and efficiently. However, the results of these technologies may not always be perfect in producing realistic images, and some applications may require a deep understanding to generate images that simulate real-life scenes. In general, it can be said that three-dimensional technologies will play a major role in improving the graphic design process, making it more effective and innovative. The research includes three topics covering the first methodology of research from the problem, importance, objectives, limitations, research methodology, As for the second topic, it addresses the concept of design and three-dimensional techniques for graphic designs. The third topic addresses the research procedures and analyzes its selected samples from the research community, as well as discusses its results, conclusions, recommendations, proposals, and sources

Optimization of landscape garden greening design based on multi objective genetic algorithm

This paper presents a novel approach to optimize landscape garden greening design using a multi-objective genetic algorithm (MOGA)[1]. Incorporating genetic algorithms into landscape architecture offers a promising avenue for efficiently navigating the complex and multidimensional design space inherent in green infrastructure projects. Through a comprehensive bibliometric analysis of existing literature, this study synthesizes key insights into the application of genetic algorithms in landscape design and identifies gaps for further exploration[2]. Leveraging the evolutionary process of genetic algorithms, our methodology focuses on simultaneously optimizing multiple objectives such as biodiversity conservation, aesthetic appeal, water efficiency, and ecosystem services provisioning[3]. By iteratively evolving and selecting landscape configurations based on fitness criteria derived from these objectives, the MOGA enables designers to explore a diverse range of design alternatives and identify Pareto-optimal solutions that balance competing priorities. The integration of genetic algorithms into landscape design facilitates an iterative and adaptive design process, allowing for the exploration of complex trade-offs and the generation of innovative design solutions. Through a case study application, we demonstrate the effectiveness of the MOGA approach in optimizing landscape garden greening designs, showcasing its potential to enhance sustainability, resilience, and functionality in urban green spaces. This research contributes to the growing body of knowledge on computational design methods in landscape architecture and provides valuable insights for practitioners and researchers seeking to leverage genetic algorithms for optimizing green infrastructure projects.

Sustainable Spaces - The Evolution of Biophilic Design in Modern Architecture: A Review

In recent years, a resurgence of interest in reconnecting with "nature" has emerged, driven by its inherent benefits and the need to address societal and environmental challenges. However, the concept of "nature" remains ambiguous within architectural contexts, necessitating a nuanced approach. The theory of biophilia, rooted in the inherent human inclination towards life and lifelike processes, has led to the development of biophilic design principles. These principles aim to incorporate natural elements into built environments, enhancing human well-being and connection with nature. By integrating biophilic design into sustainable architecture, architects can address various challenges, from mitigating climate change to improving human health. Interdisciplinary collaboration and a nuanced understanding of biophilic design implications are essential for its successful implementation. Overall, biophilic design offers a compelling framework for creating sustainable and human-centric built environments, prioritizing elements that contribute effectively to human well-being and connection with nature. Through innovative design solutions, architects can address complex societal and environmental challenges, paving the way for a more sustainable future.

Effect of Soil-Structure Interaction on the Response of Machine Foundation Subjected to Seismic Loading: A Review Study

This review provides a detailed look at the current knowledge and approaches related to Dynamic Soil-Structure Interaction (DSSI) in machine foundation design, focusing on its substantial impact on seismic response and structural stability. The significance of this interaction in structural design, especially in areas prone to seismic activity, is pivotal. The paper begins by exploring various modeling methods, like the Finite Element Method (FEM), highlighting their importance in understanding the intricate aspects of DSSI, such as energy loss and interface behavior. It is evident from the studies that FEM is particularly effective in analyzing settlement under reciprocating loads. Soil-structure interaction (SSI) is a complex phenomenon that can positively and negatively affect the seismic performance of machine foundations. Several factors, including embedment depth, soil stiffness, and foundation properties, govern the influence of SSI. This review discusses the dual nature of SSI and highlights the importance of considering the interaction between soil properties, foundation design, seismic loads, and interaction effects. In addition, it identifies the limitations of the current research and advocates for more accurate and inclusive models and extensive empirical studies to address real-world complexities and uncertainties. In conclusion, this review offers crucial insights and foundational knowledge for future innovative design solutions and advanced research methodologies and significantly contributes to developing resilient and reliable structural designs in seismic-prone regions. The emphasis is on the need for more nuanced and comprehensive studies to further the understanding and application of DSSI in machine foundation design.

555 Design Lab Methodology Supports Innovation in Clinical Trials

OBJECTIVES/GOALS: Since 2017, we have used the Design Lab methodology to support investigators taking innovative approaches to clinical effectiveness trial design. To date we have held 12 Design Labs and this year we are creating a handbook that will support dissemination of this approach across the Clinical and Translational Science Award consortium. METHODS/STUDY POPULATION: The Clinical Trial Design Lab brings together a multi-stakeholder group to consider innovative and impactful clinical trial designs. An investigative team is selected from a competitive pool of applicants, after which expert-led consultations support the investigator team to think about evidence generation in the context of the full treatment development pathway. Teams map the stakeholders at each step of this pathway (e.g. clinicians, patients, researchers, funders, industry experts, policy experts, regulatory experts, payers) and consider innovative design solutions. These consultations prepare investigators for an event that involves all stakeholders in a structured and facilitated discussion about trial designs that generate the best evidence and increase potential for health impact. RESULTS/ANTICIPATED RESULTS: The result of our work will be a set of Design Lab principles, a handbook with templates that support stakeholder mapping and structured discussions, and educational resources to accompany the handbook. The work is supported by a literature review that characterizes the multi-component processes included in the Design Lab, situates them within the larger context of team science interventions, and lays groundwork for the development of process metrics and impact evaluation criteria to assess the Design Lab method. In this poster presentation, we will share our multi-component broadly engaged team science approach, provide a brief outline of the principles and educational resources, and include an early version of the evaluation criteria. DISCUSSION/SIGNIFICANCE: Broadly engaged team science supports innovative thinking about study design and is especially important in the development of clinical trials. We have grown the Design Lab program of work over the past seven years and are now able to characterize our team science methodology and support others to use this approach to innovate for health impact.