Design Project Research Articles

Is Spartina alterniflora eradication project in Chongming Island a nature-based solution?

Invasive species profoundly impact ecosystems globally, not only threatening biodiversity by displacing native species but also disrupting ecological balances and imposing significant economic burdens. This has led countries to actively combat these pervasive threats. In China, Spartina alterniflora, an invasive species, has taken over more than 70 % of the coastal zone in just 50 years, especially in salt marsh. This study aims to assess the Spartina alterniflora eradication project in Dongtan of Chongming Island, Shanghai, based on the IUCN Global Standard for Nature-based Solutions (NBS). To ensure the comprehensiveness and diversity of the assessment process, stakeholders with diverse backgrounds were invited. The Dongtan project was qualitatively evaluated using the IUCN self-assessment tool for its adherence to the IUCN NBS Standard, identifying its strengths, weaknesses, improvement areas, and contributions to the national eradication campaign. The results show that the Dongtan Project closely aligns with the NBS standard, achieving an 88 % match, and demonstrates excellence in addressing societal challenges, enhancing biodiversity, and offering multiple benefits. Nevertheless, improvements can be made in Economic Feasibility (Criterion 4), Inclusive Governance (Criterion 5), and Balance Trade-offs (Criterion 6). The study underscores the importance of employing NBS standards for self-assessment in the project design phase, which facilitates the identification and refinement of potential design issues. The success of the Dongtan Project, exemplified by its effective Spartina alterniflora eradication strategies, serves as a compelling model for similar national campaigns.

Design Analysis and Analysis of Roof Structure Work in the Implementation of the Exit Gate and Cafeteria Construction Project at Delta Surya Sidoarjo Hospital

Building design and planning requires a very high level of precision and a relatively long time. Therefore, most consultants and construction implementers (contractors) rely on technical application support during project planning, design, and construction report preparation. A very commonly used application in Indonesia is AutoCAD. Supported with other applications such as SAP2000 and ETABS to create 2D and 3D images and analyze the strength of structures. The definition of design methods is the ways in which a designer creates an object. Some of the design methods that are often used are as follows: a. Explosing, which is a design method by seeking inspiration through critical thinking to produce a design that has never been created. b. Redefining, which is a design method by reprocessing a design to become something different and better. c. Managing, which is a design method by creating designs in a sustainable and continuous manner. d. Phototyping, which is a design method by improving and/or modifying the design of the ancestral heritage. e. Trendspotting, which is a design method by creating a design based on a developing trend. In the implementation process, the contractor PT Muliif Teknika Utama requires technical drawings that are used for work references. Where later the field results will be in accordance with the planning time. In the process of work on the structure of the field team, the implementation team needs shop drawings as a reference for implementation. Here is an example of a working drawing of a roof plan. Based on the results of the observations that have been made, the design needed in the work of the roof of the exit gate and cafeteria in the hospital. Delta Surya Sidoarjo includes: a. Drawing of the roof truss plan b. Drawing of the roof component plan in the form of placing curtains, rafters, battens, and breising column c. Cut drawings d. Detail drawings.

Dynamic Analysis of Planar Mechanism in Numerical Methods

In kinematic synthesis and analysis of planar mechanisms the designer must define a geometry and set of motions for a design task. Then it is logical to determine the forces or torques in order to create such motion in the system, which means finding out a convenient approach to solving for the forces and torques that result from our kinematic system in such a way as to provide the designed accelerations. This task is called dynamic force analysis (or kinetic analysis). Many numerical methods to determine the position, velocity, and acceleration of a planar mechanism are introduced and applied successfully, for example, using the transformation matrix. To solve fully kinetic problems for a planar mechanism, it is necessary to establish a simple and easy procedure that determines the forces or torques maintaining the motion in the system with the help of a computer. This paper will focus on how to determine the forces or torques acting on the planar mechanism by numerical method when acceleration and dynamic properties of the linkage are known. Some of the chosen examples shown here aim to demonstrate in detail the numerical solution for dynamic force analysis. The paper’s purpose is not to demonstrate novelty, but to propose a new approach that can be applied to machinery design projects for students. University students can consult the content of this paper to carry out kinematic and kinetic analysis of planar mechanisms using this numerical method, as opposed to the traditional vector drawing method that is widely used.

The effect of environmental control course on architectural design projects (Case study environmental control course - Canadian International Collage – Egypt)

It is a global strategy to save the environment through sustainable designs; this approach must begin throughout the college phase and progress through their professional career. During their academic journey, undergraduate architecture students take many courses, including a chain of Design courses and an Environmental Control (EC) course. The main aim of this paper is to discuss the importance of EC courses and how they affect design courses' outcomes. The research methodology starts with secondary data through a literature review about environmental studies and their impact on design, what the topics that the EC course has covered, and when it should be taught to be able to design a framework that helped the instructors in developing their courses' plan, then collect the data from the instructors of both courses EC and design to develop the EC course plan by adding new assignment asking students to apply what they learn during EC course in one of their previous design projects which submitted before registered the EC course and gained a knowledge of different environmental techniques. Finally, test the application of the suggested Framework by comparing the results of design projects before and after EC study and validate the results by publishing an online survey targeting the experts in different countries to demonstrate the importance of EC courses as a powerful learning tool in architecture education, as well as to be a comprehensive approach that reflects the relationship between design and environmental studies to improve both architects and building design performance.

Evaluation Method of the Impact of Twin Shield Tunneling Construction on Elevated Bridges: Case Study

In urban metro construction, shield tunneling often needs to pass through building and bridge pile foundations, potentially affecting the stability of existing structures. Therefore, accurately assessing the impact of shield tunneling on bridges and buildings is crucial. This study presents a comprehensive prediction method combining numerical simulation and empirical formulas, taking the underpass project of the Shijiazhuang–Wuhan High-Speed Railway Bridge by Zhengzhou Metro Line 5 as a case study. Three-dimensional numerical model calculations were performed using finite element software to analyze the displacement and stress changes of buildings and tunnel structures at different construction stages, revealing the deformation patterns of buildings adjacent to the tunnel during shield tunneling. In particular, the ground settlement caused by twin-tunnel excavation was compared with Peck’s empirical formula to verify the reliability of the numerical simulation. The results show that twin-tunnel excavation exacerbates the horizontal displacement, uplift, and settlement of the ground, with maximum deformation rates increasing by 7.10%, 20%, and 11.4%, respectively. Comparing the ground deformation results of Peck’s empirical formulas with numerical calculations revealed similar trends in the settlement curves, with a maximum deviation of 6.67%. It can be concluded that using Peck’s empirical formula to calculate ground deformation characteristics complements the limitations of numerical simulations, making the assessment results more reliable. The findings of this study demonstrate that integrating numerical simulation with empirical formulas significantly enhances the reliability of deformation predictions in complex tunneling scenarios. This research not only offers a comprehensive safety assessment method for shield tunneling construction but also provides valuable guidance for the design and construction of similar projects, serving as a theoretical reference for future engineering endeavors.

Characterization of natural fracture development in coal reservoirs using logging machine learning inversion, well test data and simulated geostress analyses

Natural fractures directly affect the permeability and mechanical strength of reservoirs, and their development degree has an important impact on the design and implementation of engineering and development projects. Although there is some correlation between logging data and fracture development, studies using algorithms to optimize logging predictions are still scarce. Meanwhile, there is a scarcity of calculations and analyses concerning the distribution of geostress at the block scale, and the pivotal role that geostress plays as a tectonic factor in the development of fractures. In this study, machine learning methods are used to predict reservoir fracture development, and regional geostress distribution patterns derived from well test data and finite element methods are combined for verification. The support vector machine (SVM), random forest (RF), extreme gradient boosting (XGBoost) and back propagation neural network (BPNN) algorithms are used to predict the fracture development of No.15 coal reservoir in the block. The results showed that the accuracy of SVM is 83.3 %, RF is 91.6 %, XGBoost is 93.7 % and BPNN is 95.8 %. The BPNN can effectively predict the reservoir fracture development of the block. Combined with the regional finite element stress-strain analysis and geostress measurement, the prediction of No.15 coal geostress distribution and fracture development model is established. Under comprehensive verification, the established distribution of the degree of regional fracture development under the control of geostress is consistent with the results of the BPNN prediction of fracture development. These results show that the regional geostress calculated in association with finite element analysis (FEA) can reflect the development of fracture in coalbed methane (CBM) reservoirs, and the neural network has good performance in predicting regional fracture development. This work provides a new approach to the application of machine learning in the field of geological engineering, and the comprehensively validated model provides geologists and geological engineers with ideas in algorithmic practice.

Sustainable meaningful learning through the tree of knowledge: a teaching project for Nepal

Introduction: The climate crisis and social justice are at the focus of UNESCO's 2030 Agenda, which presents 17 SDGs (Sustainable Development Goals) as a roadmap for the preservation of the planet. From the educational field, its achievement can be promoted through the design of educational projects that promote sustainable meaningful learning (SML) hand in hand with learning for social justice (LSJ). In this context, an innovative teaching practice was developed in 2021-22 using biosphere reserves in Nepal, in which students from the International Primary Education Teacher Degree Program designed teaching materials to be offered to nearby primary schools in Nepal, close to the selected biosphere reserve. Methodology: The students built knowledge models based on conceptual maps about the selected biosphere reserve, creating teaching units with activities aimed at students in Nepal. A tree of knowledge was also designed that summarized the joint project as a metacognitive tool for sustainable meaningful learning. Results: For the evaluation, a double rubric was used that analysed both the oral defence of the project and the different sections of the UD, and personal reflections were analysed, as well as the learning results and motivation. Discussion: Sustainable meaningful learning together with learning for social justice and the didactic tools that were used are very valid methodologies to stimulate international cooperation and promote meaningful, autonomous, motivating and sustainable learning.

Maturing the design: challenges in maturing a first of a kind fusion power plant.

The design, delivery and operation of a large-scale infrastructure project are challenging at best. For the Spherical Tokamak for Energy Production (STEP) prototype powerplant (SPP), the challenges increased dramatically. In addition to being a large-scale infrastructure project, it is a cutting edge, first of a kind (FOAK) technology demonstrator. The design teams are working in a volatile, uncertain, complex and ambiguous environment, where technology is constantly emerging, maturing and changing. STEP will be unlike any power plant ever built and requires the development of new technologies and capabilities, but also a novel approach to planning and maturing the design. By taking a holistic view of the engineering life cycle from the start, the programme will be better positioned to achieve an SPP that is fit for purpose and can be used to show a path to ultimate commercial viability for subsequent power plants. This paper will review the key challenges in maturing a FOAK fusion power plant and look in depth at how the STEP team are maturing the required capabilities and planning to ensure successful delivery of the SPP. This article is part of the theme issue 'Delivering Fusion Energy - The Spherical Tokamak for Energy Production (STEP)'.

Prediction of Rock Unloading Strength Based on PSO-XGBoost Hybrid Models.

Rock excavation is essentially an unloading behavior, and its mechanical properties are significantly different from those under loading conditions. In response to the current deficiencies in the peak strength prediction of rocks under unloading conditions, this study proposes a hybrid learning model for the intelligent prediction of the unloading strength of rocks using simple parameters in rock unloading tests. The XGBoost technique was used to construct a model, and the PSO-XGBoost hybrid model was developed by employing particle swarm optimization (PSO) to refine the XGBoost parameters for better prediction. In order to verify the validity and accuracy of the proposed hybrid model, 134 rock sample sets containing various common rock types in rock excavation were collected from international and Chinese publications for the purpose of modeling, and the rock unloading strength prediction results were compared with those obtained by the Random Forest (RF) model, the Support Vector Machine (SVM) model, the XGBoost (XGBoost) model, and the Grid Search Method-based XGBoost (GS-XGBoost) model. Meanwhile, five statistical indicators, including the coefficient of determination (R2), mean absolute error (MAE), mean absolute percentage error (MAPE), mean square error (MSE), and root mean square error (RMSE), were calculated to check the acceptability of these models from a quantitative perspective. A review of the comparison results revealed that the proposed PSO-XGBoost hybrid model provides a better performance than the others in predicting rock unloading strength. Finally, the importance of the effect of each input feature on the generalization performance of the hybrid model was assessed. The insights garnered from this research offer a substantial reference for tunnel excavation design and other representative projects.

Community Participation in Development Planning: A Socio-Historical Analysis of Its Strengths and Weaknesses

Numerous studies and development theorists have identified the potential of community participation (CP) in development planning. However, limited studies have synthesised existing literature to compare its strengths and weaknesses. This article, therefore, fills this knowledge gap by synthesising critical academic perspectives to (a) contrast the case for and against the promotion of CP theory in development planning and (b) detail its historical effects and contributions to the water service delivery sector. Overall, findings on the weakness reveal that (a) participation at times overrides existing legitimate decision-making processes, (b) reinforces the interest of the already powerful through knowledge acquisition and manipulation, (c) drives out those advantages participation cannot provide, and (d) leads to opportunistic behaviours, that is, free-rider syndrome. On the strengths, participation can lead to the realisation of (a) improved project design, (b) increased project acceptability, (c) a more equitable distribution of benefits, (d) increased resource mobilisation, and (e) improvements in sustainability parameters. Taken together, the authors premise that unless these strengths and weaknesses are fully documented and appreciated from a historical standpoint, efforts to take full advantage of CP as a theory in development planning will remain futile.

A socio-technical perspective on software vulnerabilities: A causal analysis

Context:Software development organizations are composed of people working together towards a common goal. These people are connected in networks. The effectiveness of these networks seems like it would be an essential consideration for the effectiveness of the organization as a whole, but does network effectiveness actually matter? Objective:In this paper, we seek to understand whether causal relationships exist between the maintenance effort spent on files implicated in software vulnerabilities and suboptimal social behaviors – social smells – within that project’s developer community. Methods:To gain insight into this question, we chose to study OpenSSL and over 100 of its published vulnerabilities. We performed a socio-technical analysis on OpenSSL to understand whether social smells could be causally linked to the effort to maintain files implicated in vulnerabilities. Results:Our results indicate that this is the case: Social smells are, in fact, causally linked to the maintenance effort surrounding files implicated in software vulnerabilities. Conclusion:This result has significant implications for the management of software projects. These insights may motivate and help to guide project managers and architects to also focus on team communications, and not merely on technical quality measures such as bug rates or feature velocity. Social interactions among a project’s team members matter, and smells can be measured and monitored.

How blue hat co-regulate pre-service teachers' collective reflection based upon the six-hat thinking technique: A lag sequential analysis

Collective reflection is essential for teachers' professional growth which involves multiple individuals participating in reflective exercises. However, collective reflection often faces problems such as disorganization and inadequate criticism. This study utilized the six-hat thinking framework to structure collective reflection among pre-service teachers during project-based instructional design learning. Despite its known collaboration-boosting effects, the impact of six-hat thinking technique on pre-service teachers' collective reflection, particularly within co-regulation, is under-explored. Focusing on Blue Hat's coordinating role on monitoring and planning, this study employed co-regulation coding and Lag Sequential Analysis (LSA) to analyze collective reflection behaviors. Findings uncovered co-regulation patterns within the six-hat-enhanced reflection, emphasizing Blue Hat's significance. This study distinguished regulation patterns between high and low-level understanding on grasping the six-hat thinking technique. High-understanding groups demonstrated co-regulation centered on regulation-evaluation, fostering self-assessment of instructional design projects and refinement planning. Conversely, low-understanding groups exhibited a pattern focused on task verification, neglecting group work regulation or evaluation. This study also delved into LSA-derived empirical insights on communication dynamics underlying co-regulation in six-hat-integrated collective reflection.

Driving Deployment of Bioengineered Products-An Arduous, Sometimes Tedious, Challenging, Rewarding, Most Exciting Journey That Has to Be Made!

More than three decades ago, we embarked on a number of bioengineering explorations using the most advanced materials and fabrication methods. In every area we ventured into, it was our intention to ensure fundamental discoveries were deployed into the clinic to benefit patients. When we embarked on this journey, we did so without a road map, not even a compass, and so the path was arduous, sometimes tedious. Now, we can see the doorway to deployment on the near horizon. We now appreciate that overcoming the challenges has made this a rewarding and exciting journey. However, maybe we could have been here a lot sooner, and so maybe the lessons we have learned could benefit others and accelerate progress in clinical translation. Through a number of case studies, including neural regeneration, cartilage regeneration, skin regeneration, the 3D printing of capsules for islet cell transplantation, and the bioengineered cornea, here, we retrace our steps. We will summarise the journey to date, point out the obstacles encountered, and celebrate the translational impact. Then, we will provide a framework for project design with the clinical deployment of bioengineered products as the goal.

Collaborating for co-researching: A multi-stakeholder case narrative of student nurses co-researching technology-supported care

AimEvaluate the impact of LS@H project participation on stakeholders. BackgroundAs populations age and workforces decline, care technology in nursing is becoming increasingly commonplace. Collaboration between nurse academia, education and practice can result in practice-based research and meaningful learning for nursing students and staff. However, little is known about the factors influencing effective collaboration. Based on the knowledge that narratives can be an effective vehicle for healthcare practice change, a Dutch school of nursing and its practice partners collaborated on the Living Longer and Safe at Home! (LS@H) project. This project aimed to explore a more person-centred approach to the use of technology in nursing care. Having gathered data from multiple sources to construct case narratives on the use of technology in older persons care, students nurses were able to contribute to practice development as their narratives were fed back to local and regional teams. DesignTo evaluate the impact of the LS@H project, we employed the same methodology used in the project: mixed data gathering methods to construct a case narrative. LS@H project students, supervisors, mentors and higher management shared their experiences and the research team constructed the case narrative. MethodsQualitative data were gathered via individual, duo and group interviews and supplemented with a survey among students. Transcription and thematic analysis followed, with multiple rounds of critical peer review before the thematic framework was agreed, survey results integrated and the case narrative constructed. ResultsAccording to stakeholder participants, the LS@H project led to an unfreezing of the status quo in both education and practice. The approach was new and guidelines with community support was needed to allay fears. The project design enabled a sense of shared ownership, across individuals and organisations for improving practice. Perspectives on the use of technology and older persons nursing were transformed. Critically dialoguing case narratives encouraged purposeful action to improve practice and fostered reflective practice among students and teams. ConclusionsCollaborative practice-based research can be a valuable learning experience for student nurses, positively influencing their view of nursing practice as well as enabling them to actively contribute to practice development. Adequate preparation, supervision and practice mentorship is vital, alongside practice (leader) commitment to ensure continued student assignments with subsequent critical dialogue of the multi-stakeholder case narratives produced. Registration numberAt point of submission put this on title page

Investigating how subject teachers transition to integrated STEM education: A hybrid qualitative study on primary and middle school teachers

Encouraging subject teachers to transition to integrated STEM education is an important measure to address the shortage of STEM teachers. However, there is limited research available on the process and characteristics of STEM teacher identity transformation. The study used a hybrid method of Grounded Theory and Epistemic Network Analysis to analyze interview texts of 10 STEM teachers from Zhejiang Province, China. Research has shown that subject teachers go through three stages when transitioning to integrated STEM education: imitation, exploration, and innovation. Throughout each stage, the teacher’s identity changes as they gain a better understanding of integrated STEM education, curriculum and project design, practical methods, and teaching reflection. The study has identified three paths for the transformation of STEM teacher identity, which are influenced by factors such as gender, professional background, school type, and location. Additionally, the study proposes strategies that could encourage subject teachers to transition toward STEM education.

A study of capacity demands for heat pumps intermittent heating of China’s residences

Heat pump heating is one of the most promising solutions for transitioning residential heating in China’s cold regions, as well as hot summer and cold winter regions from centralized, continuous heating to decentralized, intermittent heating, promoting low-carbon transformation. However, the fundamental issue of the actual capacity requirements for heat pumps in intermittent heating has not yet been addressed. In view of this, this study developed a numerical model that considers the dynamic coupling characteristics between the heat pump and the building environment. Using the model, the worst startup conditions for heat pumps in intermittent heating, actual heat pump capacity demands, and the differences in capacity compared to continuous heating mode for residential buildings in 230 Chinese cities are analyzed. The findings revealed an exponential relationship between intermittent heating capacity demands and time constraints, as well as a linear relationship with heating temperature. Specifically, the impact of the set temperature on capacity demands in cold regions and hot summer and cold winter regions is 22.8 W/(m2·°C) and 32 W/(m2·°C), respectively. These findings provide insights into the planning and design of future intermittent heating renovation projects in China.

Design of Exemplary Storybook 5 Apostles Ulul Azmi by Cikal Aksara for Children Aged 10-12 Years Old

Five Apostles are stand out among 25 Prophets of Islam for their extraordinary forbearance and perseverance in carrying out their responsibilities, and they are recognized with the honorific title of Ulul Azmi. Among these holy people are Noah, Moses, Abraham, Isa, and Muhammad. Children are usually introduced to these Prophets and Apostles through storytelling, storybooks are a popular medium for this purpose. Using a qualitative approach, this project highlights the significance of preserving a pleasing harmony between text, pictures, and colors. The goal of the design project is to produce an appropriate children's storybook called "Cerita Teladan 5 Rasul Ulul Azmi," while adhering to recognized criteria for an engaging illustration storybook. The project takes influence from Cikal Aksara's previous storybook.

Research on Application and Quality Evaluation of Intelligent Teaching Model of AI Three Teachers in the Course of Motion Control Technology

Motion control technology is an important branch of automation, and is one of the important development directions of the emerging industry of high-end equipment manufacturing. As a comprehensive discipline with the intersection of mechanical, electrical and electronic, its teaching mode faces many challenges. There are practical problems that need to be solved, such as teaching content not matching seamlessly with post knowledge and skill literacy requirements, teaching project design is not high in modularity, and teaching evaluation system is not perfect. These problems seriously restrict the cultivation of students' technical practical ability. This project proposes the "intelligent teaching model of AI three teachers for the course of Motion Control Technology", which emphasizes student-centered, builds a core curriculum system that connects with the technology of field engineers in enterprises, and proposes the three-way collaborative teaching and education strategy of "vocational school Teacher + Al Teacher + enterprise tutor" to enable students to participate in learning in an all-round way. And timely access to feedback information, the formation of continuous improvement of the teaching cycle. Optimize the teaching team and teaching mode, improve the teaching quality, meet the diversified learning needs of students, and promote the continuous innovation and development of education and teaching.

Analytical Formulation and Optimization of the Initial Morphology of Double-Layer Cable Truss Flexible Photovoltaic Supports

With the rapid development of the photovoltaic industry, flexible photovoltaic supports are increasingly widely used. Parameters such as the deflection, span, and cross-sectional dimensions of cables are important factors affecting their mechanical and economic performance. Therefore, in order to reduce steel consumption and cost and improve application value, it is crucial to design and optimize their initial morphology. In this paper, the mechanical behavior of a single-cable structure is introduced, and the simplified analytical formulations for internal force and displacement are deduced based on the geometric nonlinear characteristics and small strain assumption of the flexible photovoltaic supports. On this basis, the analytical expressions for the cable force and displacement of a convex prestressed double-layer cable truss flexible photovoltaic support structure under a uniform load are derived, and the correctness of the analytical formulations is verified by comparing the values with the finite element analysis results. In order to reduce the construction costs of the flexible photovoltaic support, a mathematical model for optimizing the initial structure’s morphology is established according to the analytical formulations. The initial morphology of the double-layer cable truss flexible photovoltaic support is optimized, and the optimization results of different deflection deformation limits and whether the lower load-bearing cable is allowed to relax are compared. The results indicate that the errors of the displacement formulation and cable force formulation, when compared with the finite element results, are less than 3% and 4%, respectively, which verifies the accuracy of the analytical formulations. By analyzing the cable force and displacement of the structure under static action, it is suggested that the deflection limit of the double-layer cable truss structure should be 1/100 of the single span. The lower load-bearing cables of the double-layer cable truss flexible photovoltaic support are highly susceptible to relaxation under wind suction loads, and, by comparing the optimization results, it is suggested that slack should be allowed in the lower load-bearing cables for a better economic effect. When choosing the most economical structure morphology, it is recommended that the total height of the mid-span struts should be 1/20~1/15 of the single span. The analytical formulation and the mathematical model for the optimization of the initial morphology proposed in this paper can provide certain theoretical references and bases for the design of practical engineering projects and play an important role in promoting its application and promotion.

Study on Multi-Objective Optimization of Construction Project Based on Improved Genetic Algorithm and Particle Swarm Optimization

Construction projects require concurrent consideration of the three major objectives of construction period, cost, and quality. To address the multi-objective optimization issues of construction projects, mathematical models of construction period, quality, and cost are established, respectively, and multi-objective optimization models are constructed for different construction objectives. A hybrid optimization method combining an improved genetic algorithm (GA) with a time-varying mutation rate and a particle swarm algorithm (PSO) is proposed to optimize construction projects, which overcomes the shortcomings of the original GA and improves the global optimality and stability of results. Various construction projects were considered, and different construction objectives were analyzed individually. Finally, an uncertainty analysis is developed for the proposed GA-PSO algorithm and compared with GA and PSO. The results indicate that the proposed hybrid approach outperforms the PSO and GA algorithms in providing a better and more stable multi-objective optimized construction solution, with performance improvements of 4.3–8.5% and volatility reductions of 37.5–64.4%. This provides a reference for the optimal design of wind farms, buildings, and other construction projects.