Modular Concept Research Articles

Flexible Model Proposals for Post-Disaster Temporary Housing in Architectural Design

Shelter is one of the most basic needs that emerged with the existence of humanity and is necessary for people to continue their lives. In addition to meeting physical needs, it also has social and cultural functions. Especially in the post-disaster process, it is essential to create temporary shelter units in the face of emerging problems. Since societies can be affected simultaneously in this process, needs must be met as quickly as possible. "Flexible container designs" are seen as a solution to this problem. Flexible container designs can provide significant advantages in meeting basic needs after a disaster and in terms of rapid intervention. The study aims to present flexible model suggestions that can be used to produce temporary shelter units. Because the production of temporary shelter units is essential in terms of flexibility due to reasons such as reusability, portability, limited design periods, etc. The study discusses the designs made by the students within the scope of the Structural System Information course of the Architecture Department of Gazi University Faculty of Architecture. The students were asked to produce solutions to problems such as the emergence of shelter needs for people after disasters, bringing containers to the need area, and serving different functions. The study reveals the value of the concepts of flexibility, portability, and modularity in the design of temporary shelter units through student designs; it emphasizes the importance of these concepts in design processes in both architectural education and architectural practices. The study will contribute to the development of innovative, flexible, and portable solutions.

Real-Time Information Acquisition and Processing Method for Penetration Information Based on Multi-Information Fusion

To improve the real-time performance and the target adaptability of penetration fuze detonation control systems, and to enhance the system fusion processing capability for multi-sensor information, this paper uses a modular design concept to construct a miniaturized (ø38[Formula: see text]mm[Formula: see text]×[Formula: see text]4[Formula: see text]mm) fuze detonation control system that is capable of real-time processing of data from multiple information sources. The core component of this system is the GD32E230 microcontroller, which features a high dominant frequency and low power consumption. This device is integrated with a ferroelectric memory and signal processing circuits that match the sensors. To address the issue of unclear traditional acceleration signal penetration and the difficulties associated with the identification of these signals, the approach in this paper improves feature recognition accuracy through rapid acquisition and fusion of multiple types of sensor output signal, and self-adaptive identification of multilayered targets and single-layer thick targets is achieved. During the programming of the embedded system, the hardware register is operated directly, the instruction execution sequence is optimized, and the program execution efficiency is improved by using the function characteristic that some microcontroller unit peripherals do not occupy the central processing unit when working, thus allowing the intended purpose of improving the system’s real-time performance to be achieved. A semi-physical simulation method is then used to verify the performance of the penetration fuze detonation control system. The results obtained show that the system has 100%-layer counting accuracy for multilayered targets and a relative error of less than 1% for the calculated residual velocities of single-layer thick targets, thus validating the effectiveness of the system.

Two dimensions of product modularity and innovation: the case of R&D teams

Abstract This study investigates the relationship between product modularity and innovation in 101 research and development (R&D) teams. The key contribution and the departure from prior empirical work consists in bringing into relation multidimensional operationalizations of these two concepts. Product modularity is composed of standardization and reconfigurability and innovation of novelty and efficiency. The literature provides arguments for both negative and positive relationships between standardization and the two types of innovation, while positive relationships are argued for product reconfigurability. The empirical findings corroborate most of the theorizing, although negative relationships are found for standardization. This study contributes to the literature by unpacking the understanding of the concept of product modularity in R&D organizations since the multidimensional approach resolves some of the ambiguity from previous studies. The modularity literature long called for studies to empirically investigate product modularity in more than one dimension implying a number of theoretical implications discussed here.

Comparative Research on Landing and Rollout Characteristics of Skid-Equipped and Wheeled Aircraft

Skid landing gear is a specialized landing device known for its compact structure and lightweight. However, current research on the dynamic characteristics of skid-equipped aircraft on concrete runways is limited, which raises uncertainties about its practical applications. To address this gap, a general aircraft model based on a modular concept is first constructed, considering the coupling effects of aerodynamic, buffer, and ground forces. On this basis, the differences in motion characteristics between skid-equipped and wheeled aircraft are compared in detail. Then, the impact of various factors on the landing characteristics of skid-equipped aircraft is analyzed, such as initial longitudinal velocity, pitching angle, and friction coefficient of skid. Simulation results show that the lack of buffering capability provided by tires results in a 10.57% increase in overload for skid-equipped aircraft and a 15.39% decrease in the efficiency of the main landing gear buffer. Notably, the initial pitching angle has a critical impact on the landing overload of skid-equipped aircraft. Due to the significant differences in the mechanical properties of the landing gears, the skid-equipped aircraft without nose wheel steering ability is a statically unstable system during the rollout phase. The intervention of asymmetric disturbances would pose a serious threat to the rollout safety.

Designing Hand Orthoses: Advances and Challenges in Material Extrusion

The intricate structure of human hands requires personalized orthotic treatments, especially with the growing aging population’s demand for accessible care. While traditional orthoses are effective, they face challenges of cost, customization time, and accessibility. Additive manufacturing, particularly material extrusion (MEX) techniques, can effectively address challenges in orthotic device production by enabling automated, complex, and cost-effective solutions. This work aims to provide engineers with a comprehensive set of design considerations for developing hand orthoses using MEX technology, focusing on applying design for additive manufacturing principles, to enhance rehabilitation outcomes. This objective is achieved by establishing design requirements for hand orthoses, reviewing design choices and methodologies across conventional and state-of-the-art MEX-based devices, and proposing an innovative approach to orthotic design. Hand orthosis design requirements were gathered through workshops with occupational therapists and categorized into engineer-, medical-, and patient-specific needs. A review of 3D-printed hand orthoses using MEX analyzes various design approaches, providing insights into existing solutions. The study introduces a modular design concept aimed at improving rehabilitation by enhancing customizability and functionality. It highlights the potential of MEX for creating personalized, cost-effective orthoses and offers recommendations for future research, to optimize designs and improve patient outcomes.

Surgical challenges in Non-combatant Evacuation Operations

BackgroundGlobal uncertainties have prompted nations to adopt vigilant approaches to safeguard their citizens. Recent crises have compelled Western nations to undertake evacuations, ranging from peaceful scenarios to urgent military interventions. In April 2023, Sudan descended into civil war, prompting France to orchestrate a complex evacuation operation leveraging prepositioned forces in Djibouti. Materials & MethodsThis retrospective observational study aims to analyze the surgical challenges encountered during Operation SAGITTAIRE (OS), focusing on human, technical, and logistical requirements for successful military interventions in multinational civilian populations. ResultsOS successfully evacuated 1017 individuals of 84 nationalities from Khartoum using road, sea, and air routes. Special forces teams, including the Surgical Life-saving Module (SLM), were mobilized alongside conventional military elements. The Joint Medical Surgical Center (JMSC) in Djibouti served as a permanent medical facility with comprehensive facilities and staff. Air Medical evacuations were performed for vicitms and surgical interventions were conducted, including damage control surgery, orthopedic procedures, and debridements. Five surgical evaluations and four surgical procedures were performed. The operation spanned 96 h without death. The SLM, deployed in Khartoum and within an aircraft, played a crucial role. DiscussionOS highlighted the need for a comprehensive health support system. Challenges in assessing health needs led to the establishment of a substantial and adaptable system. The report emphasizes the importance of a comprehensive approach to support Non-combatant Evacuation Operations in French Doctrine. ConclusionOS showcased the French Health Military Service's capabilities in deploying a comprehensive damage control chain in challenging environments. This fatality-free success underlines the effectiveness of coordinated resuscitation, damage control, and transportation. Evacuation operations in non-combatant settings during civil wars pose formidable challenges, requiring a modular and adaptable support concept. Coordination, communication, logistical preparation, and training are crucial elements for successful management of such operations.

Engineering the L-tryptophan metabolism for efficient de novo biosynthesis of tryptophol in Saccharomyces cerevisiae

Tryptophol (IET) is a metabolite derived from L-tryptophan that can be isolated from plants, bacteria, and fungi and has a wide range of biological activities in living systems. Despite the fact that IET biosynthesis pathways exist naturally in living organisms, industrial-scale production of IET and its derivatives is solely based on environmentally unfriendly chemical conversion. With diminishing petroleum reserves and a significant increase in global demand in all major commercial segments, it becomes essential to develop new technologies to produce chemicals from renewable resources and under mild conditions, such as microbial fermentation. Here we characterized and engineered the less-studied L-tryptophan pathway and IET biosynthesis in the baker’s yeast Saccharomyces cerevisiae, with the goal of investigating microbial fermentation as an alternative/green strategy to produce IET. In detail, we divided the aromatic amino acids (AAAs) metabolism related to IET synthesis into the shikimate pathway, the L-tryptophan pathway, the competing L-tyrosine/L-phenylalanine pathways, and the Ehrlich pathway based on a modular engineering concept. Through stepwise engineering of these modules, we obtained a yeast mutant capable of producing IET up to 1.04 g/L through fed-batch fermentation, a ~ 650-fold improvement over the wild-type strain. Besides, our engineering process also revealed many insights about the regulation of AAAs metabolism in S. cerevisiae. Finally, during our engineering process, we also discovered yeast mutants that accumulate anthranilate and L-tryptophan, both of which are precursors of various valuable secondary metabolites from fungi and plants. These strains could be developed to the chassis for natural product biosynthesis upon introducing heterologous pathways.

Circumferential exposure of the cavernous sinus and parasellar region through a combined open and endoscopic endonasal transcavernous approach, a morphometric study.

Although recent trends currently favor the endoscopic endonasal transcavernous approach (EETA) over the pretemporal transcavernous approach (PTA) for certain cavernous sinus pathologies, dedicated assessment of the surgical exposure and maneuverability is wanting. Toward this aim, this morphometric study quantifies these variables within four cavernous sinus compartments by comparing the PTA, EETA, and a combined approach to achieve a circumferential dissection (EETA-PTA). In five latex-injected specimens, exposure volumes of the EETA, PTA, and circumferential EETA-PTA approaches were quantified; the latter combined the most conservative options of both the endoscopic and open approaches. Two clinical cases illustrate the combined approach. EETA-PTA provided the largest volume of exposure (65.6% vs 35% PTA vs 44.6% EETA, P = 0.01) and eliminated the need to mobilize the ICA or cross cranial nerves. Although EETA and PTA approaches afforded comparable exposure volumes along the entire cavernous sinus (34.9 vs 44.6%), the EETA better exposed medial and inferior compartments (whereas the PTA exposed larger volumes in the lateral and superior compartments. The combined EETA-PTA yielded 66% of total cavernous sinus exposure volumes and eliminated the need to mobilize the ICA or cross cranial nerves. Our methodology aligns with strategies that use a modular concept to divide the skull base into compartments for maximal safe resection. Excluding soft tumors, the EETA is preferred for medial and inferior lesions and the PTA for superior and lateral lesions. A staged combined EETA-PTA may safely yield a 360-degree access for extensive multi-compartment lesions that span neurovascular structures within the cavernous sinus.

Congruence between co-occurrence and trait-based networks is scale-dependent: a case study with flea parasites of small mammalian hosts.

We applied a novel framework based on network theory and a concept of modularity that estimates congruence between trait-based ( = functional) co-occurrence networks, thus allowing the inference of co-occurrence patterns and the determination of the predominant mechanism of community assembly. The aim was to investigate the relationships between species co-occurrence and trait similarity in flea communities at various scales (compound communities: across regions within a biogeographic realm or across sampling sites within a geographic region; component communities: across sampling sites within a geographic region; and infracommunities: within a sampling site). We found that compound communities within biogeographic realms were assembled via environmental or host-associated filtering. In contrast, functional and spatial/host-associated co-occurrence networks, at the scale of regional compound communities, mostly indicated either stochastic processes or the lack of dominance of any deterministic process. Analyses of congruence between functional and either spatial (for component communities) or host-associated (for infracommunities) co-occurrence networks demonstrated that assembly rules in these communities varied among host species. In component communities, stochastic processes prevailed, whereas environmental filtering was indicated in 4 and limiting similarity/competition in 9 of 31 communities. Limiting similarity/competition processes dominated in infracommunities, followed by stochastic mechanisms. We conclude that assembly processes in parasite communities are scale-dependent, with different mechanisms acting at different scales.

TSUNAMI Analyses of the Similarity and Applicability of Zero Energy Deuterium 2 Critical Experiments for Reactor Physics Code Benchmarking for a Pressurized Water Reactor Small Modular Reactor Design Concept

Abstract This paper presents the findings of studies conducted at Canadian Nuclear Laboratories (CNL) to support the development of small modular reactor (SMR) designs. The primary focus of this research was to evaluate the suitability of the zero energy deuterium 2 (ZED-2) critical facility in replicating the reactor physics environment for a pressurized water reactor small modular reactor (PWR-SMR) design concept through similarity and nuclear data sensitivity studies, using the TSUNAMI code suite. It was found that previous ZED-2 experiments would be quite promising for application to a PWR-SMR design. Further similarity and sensitivity studies of hypothetical mixed-lattice substitution experiments, where PWR-SMR fuel assemblies were placed into a substitution region of the ZED-2 critical facility demonstrated improved similarity. Subsequent analyses focused on the impacts of dissolved Gadolinium (Gd) and boron (B) neutron absorbers, suggesting the feasibility of using future ZED-2 experiments to more closely replicate PWR-SMR reactor physics behavior. Building on these initial findings, the design for PWR-SMR fuel assembly substitution experiments in the ZED-2 facility were explored further. These hypothetical experiments feature water-cooled PWR-type fuel assemblies inside a shroud, surrounded by heavy-water-moderated CANdu FLEXible, Low Enriched Uranium, Recovered Uranium (CANFLEX-LEU/CANFLEX-RU) fuel channels. Similarity and sensitivity studies indicate a very high level of similarity of these experiments for PWR-SMR design applications.

Agricultural Micro-Tiller Detachability Research and Multi-Module Design Development

To improve the detachability performance and remanufacturing capability of existing agricultural micro-tillers, a modular design concept is introduced into the product design and development process, with Axiomatic Design (AD) and the Design Structure Matrix (DSM) serving as the methodological guidance and theoretical framework. In the design process, “Z-mapping” is used to reconstruct the demand/function/structure of the agricultural micro-tiller, decompose the total functions step by step, and establish a design matrix to transform the initial user requirements into specific functional indicators and design parameters. Geometric correlation is used as the design evaluation index to assign values to the matrix to establish a DSM for the correlations between agricultural micro-tiller design parameters. Using system clustering to optimize the distribution of matrix values, a total of five functional modules were identified to achieve a modular design scheme and design a prototype for agricultural micro-tillers. This design solution has significantly better disassembly performance than existing products, effectively enhancing the remanufacturing capability of existing equipment, proving the effectiveness of the Kano-AD-DSM-based design strategy, and providing a new theoretical reference for the innovative design of other small agricultural equipment.

Modular anatomic approach to oral tongue carcinoma: functional outcomes and quality of life.

The purpose of this study is to present the long-term functional swallowing outcomes of various surgical approaches to oral tongue/floor of mouth squamous cell carcinoma (OTFOMSCC) according to a modular and compartment-based concept previously described elsewhere. A retrospective study was conducted on patients undergoing surgery for OTFOMSCC from January 2017 to April 2023 in the Department of Otorhinolaryngology at the Hospital of Bolzano. Functional swallowing outcomes and quality of life (QoL) were assessed through the administration of a scale and questionnaires between 6 months and 1 year postoperatively or after the end of adjuvant therapy, stratifying the results according to the surgical technique used. A total of 92 patients with OTFOMSCC were enrolled: 44 patients underwent transoral anatomically guided surgery (TAGS) for early-stage tumours, and 48 underwent major surgery for advanced stages. Among the latter 48 patients: 35 underwent compartment tongue surgery (CTS), 3 underwent extended glossectomies (EG) Type A, 6 underwent EG Type B, and 4 underwent EG Type C. After TAGS, all patients resumed oral feeding for all consistencies. In the CTS group, only one patient faced challenges with pure liquids, yet all achieved the target of consuming a semisolid and semiliquid diet. EG exhibited a noticeable decline in performance from Type A to total glossectomy (Type C). Following an anatomically-guided approach to the resection of OTFOMSCC allows the surgery to be modulated on the structures involved by the tumour, thus achieving optimal oncological results, while maintaining the possibility to predict functional outcomes and postoperative QoL.

On a nonlinear general eigenvalue problem in Musielak–Orlicz spaces

Abstract In this paper, we concern the existence result of the following general eigenvalue problem: { 𝒜 ⁢ ( u ) = λ ⁢ ℬ ⁢ ( u ) in ⁢ Ω , D α ⁢ ( u ) = 0 on ⁢ ∂ ⁡ Ω , \left\{\begin{aligned} \displaystyle{}\mathcal{A}(u)&\displaystyle={\lambda}% \mathcal{B}(u)&&\displaystyle\phantom{}\text{in }{\Omega},\\ \displaystyle D^{\alpha}(u)&\displaystyle=0&&\displaystyle\phantom{}\text{on }% {\partial\Omega},\end{aligned}\right. in an arbitrary Musielak–Orlicz spaces, where 𝒜 {\mathcal{A}} and ℬ {\mathcal{B}} are quasilinear operators in divergence form of order 2 ⁢ n {2n} and 2 ⁢ ( n - 1 ) {2(n-1)} , respectively. The main assumptions in this case are that 𝒜 {\mathcal{A}} and ℬ {\mathcal{B}} are potential operators with 𝒜 {\mathcal{A}} being elliptic and monotone. In this study, we intentionally avoid imposing constraints on the growth of a generalized N-function, including the Δ 2 {\Delta_{2}} -condition for both the generalized N-function and its conjugate. Consequently, this necessitates the formulation of the approximation theorem and the extensive utilization of modular convergence concepts.

A risk-informed and performance-based approach to defining prevention and mitigation

The terms “prevention” and “mitigation” are often used to define safety functions in nuclear power plants and other complex engineered systems. For existing light water reactor (LWR) nuclear plants, these terms are typically used in the context of preventing core damage and mitigating the consequences of a severe accident. Balancing the reliance on prevention and mitigation is often stated as an important principle of defense-in-depth. To apply these terms to formulate design requirements for advanced reactors, it is necessary to define specifically what is to be prevented and mitigated because the concept of core damage is not generally applicable to advanced non-LWR concepts and designs. Advanced non-LWR reactor concepts use different fuels, moderators, coolants and different strategies for achieving the functional containment of radionuclides. The adoption of the small modular reactor concept also leads to plants with many small reactors. This paper discusses a risk-informed and performance-based definition of prevention and mitigation that can be applied to any reactor concept or design. It was developed as part of the Licensing Modernization Project (LMP) which has introduced a new approach to developing a safety case to support design and licensing. A new way of thinking about prevention and mitigation was needed to formulate advanced reactor design and special treatment requirements for structures, systems and components (SSCs) that could be applied to a wide diversity of designs. The LMP approach discussed in this paper includes criteria to identify safety significant SSC prevention and mitigation functions and uses SSC reliability and capability targets to inform the selection of design and special treatment requirements and to support the evaluation of defense-in-depth adequacy. These prevention and mitigation functions are defined in the context of event sequences that comprise the licensing basis events that anchor the safety case for the reactor operating license.

Design and evaluation of a modular robot concept for external pipeline surface inspection

Design and evaluation of a modular robot concept for external pipeline surface inspection

Design of control system for seawater total alkalinity in-situ analyzer

Abstract To address the inadequacies of traditional seawater total alkalinity detection methods, which fail to meet the demands for continuous on-site monitoring at sea, a seawater total alkalinity analyzer based on single-point titration and spectrophotometry has been developed. This paper focuses on the design of the analyzer’s system architecture, hardware, and control systems. The instrument adopts a modular design concept and utilizes microfluidic technology for detection, with the STM32 serving as the control core. Through the design of the control system for the detection instrument, accurate in-situ automatic measurement of seawater total alkalinity is achieved. Laboratory testing and analysis demonstrate that the instrument’s measurement relative error is less than 1%, satisfying the accuracy requirements for seawater total alkalinity measurement. This research provides critical monitoring data support for a timely understanding of marine ecological environments and the marine carbon cycle.

Highly Selective Drug-Derived Fluorescent Probes for the Cannabinoid Receptor Type 1 (CB1R).

The cannabinoid receptor type 1 (CB1R) is pivotal within the endocannabinoid system regulating various signaling cascades with effects in appetite regulation, pain perception, memory formation, and thermoregulation. Still, understanding of CB1R's cellular signaling, distribution, and expression dynamics is very fragmentary. Real-time visualization of CB1R is crucial for addressing these questions. Selective drug-like CB1R ligands with a defined pharmacological profile were investigated for the construction of CB1R fluorescent probes using a reverse design-approach. A modular design concept with a diethyl glycine-based building block as the centerpiece allowed for the straightforward synthesis of novel probe candidates. Validated by computational docking studies, radioligand binding, and cAMP assay, this systematic approach allowed for the identification of novel pyrrole-based CB1R fluorescent probes. Application in fluorescence-based target-engagement studies and live cell imaging exemplify the great versatility of the tailored CB1R probes for investigating CB1R localization, trafficking, pharmacology, and its pathological implications.

Implementation of an intelligent process monitoring system for screw presses using the CRISP-DM standard

AbstractIncreasing the service life and process reliability of systems plays an important role in terms of sustainable and economical production. Especially in the field of energy-intensive bulk forming, low scrap rates and long tool lifetimes are business critical. This article describes a modular method for AI-supported process monitoring during hot forming within a screw press. With this method, the following deviations can be detected in an integrated process: the height of the semi-finished product, the positions of the die and the position of the semi-finished product. The method was developed using the CRISP-DM standard. A modular sensor concept was developed that can be used for different screw presses and dies. Subsequently a hot forming-optimized test plan was developed to examine individual and overlapping process deviations. By applying various methods of artificial intelligence, a method for process-integrated detection of process deviations was developed. The results of the investigation show the potential of the developed method and offer starting points for the investigation of further process parameters.

The Role of Modular Architecture in The Context of Is/It Project Outsourcing: An Empirical Analysis

The outsourcing of information systems and information technology (IS/IT) has become a prevalent practice in both developed and emerging economies, with the aim of achieving economies of scale and competitive advantages. In general, an IS/IT outsourcing deal concerns an agreement or contract (service level agreement or SLA) between parties in which one party (the vendor organization) agrees to deliver certain services to another party (the customer organization). The outsourcing literature is persistently reporting high failure rates in IS/IT project outsourcing and suggests that the IS/IT project outsourcing process is a complex maneuver. However, it is likely that due to inappropriate strategies and short-sightedness, at least a third of IS/IT outsourcing projects fail to deliver intended targets. For decades, in numerous fields, the issue of complexity has been addressed by applying the concept of modularity. Modular architecture is a key aspect of the concept of modularity. An in-house team of skilled individuals possessing expertise in architectural and systems integration knowledge may help to achieve competitive advantage by effectively managing complexity. In addition to achieving economies of scale, the customer organization may also achieve agility and flexibility by combining the advantages of modularity and outsourcing. This study examines the feasibility of applying the concept of modularity in the context of IS/IT project outsourcing with the aim of further expanding its scope. The findings of empirical analyses of four cases suggest that numerous aspects of the concept of modularity are relevant in the context of IS/IT project outsourcing. The ‘modular architecture’ has emerged as one of the most relevant and was identified in three out of the four analyzed cases. It implies that the ‘modular architecture’ aspect ought to receive greater attention when designing or planning a new IS/IT outsourcing project. The authors argue by stating that the present study has provided support for the point of view that engineering concepts such as modularity can be applied with substantial relevance to research domains which are predominantly considered from an IT management-perspective. Perhaps the use of the same concept, i.e., modularity, at both the technical and management level will provide a common vocabulary and may be even more to achieve better alignment between both levels and contribute to realizing more successful IS/IT outsourcing projects in the future. However, at the very least, a common vocabulary should help in collaboration between researchers at both levels to advance the research and practice in IS/IT project outsourcing, to which this is an invitation. It would be a contribution to the new and emerging research area focusing on applying engineering concepts to the design of enterprises, coined Enterprise Engineering. In addition to theoretical contributions, this study has implications at a practical level by providing an alternative lens for the CIO’s to analyze their future IS/IT projects.

A 3D Parameterized BIM-Modeling Method for Complex Engineering Structures in Building Construction Projects

The structural components of large-scale public construction projects are more complex than those of ordinary residential buildings, with irregular and diverse components, as well as a large number of repetitive structural elements, which increase the difficulty of BIM-modeling operations. Additionally, there is a significant amount of inherent parameter information in the construction process, which puts forward higher requirements for the application and management capabilities of BIM technology. However, the current BIM software still has deficiencies in the parameterization of complex and irregular structural components, fine modeling, and project management information. To address these issues, this paper takes Grasshopper as the core parametric tool and Revit as the carrier of component attribute information. It investigates the parametric modeling logic of Grasshopper and combines the concepts of parameterization, modularization, standardization, and engineering practicality to create a series of parametric programs for complex structural components in building projects. This approach mainly addresses intricate challenges pertaining to the parametric structural shapes (including batch processing) and parametric structural attributes (including the batch processing of diverse attribute parameters), thereby ensuring the efficiency in BIM modeling throughout the design and construction phases of complex building projects.