Small municipal projects,constrained by resources and extensive management models,commonly face issues of delayed progress and cost overruns.This study uses a road renovation project in a city as an empirical case.By ...Small municipal projects,constrained by resources and extensive management models,commonly face issues of delayed progress and cost overruns.This study uses a road renovation project in a city as an empirical case.By integrating BIM collaborative platforms with real-time IoT monitoring systems,it achieves construction conflict prediction and dynamic resource allocation.Combining rolling planning methods and risk probability models,a“forecast-adaptation”dual-mode management framework is formed.After implementation,the total duration was shortened by 15%,the rework rate decreased by 20%,and inter-departmental communication efficiency improved by 30%.The case validates the effectiveness of digital tools and dynamic mechanisms working together to optimize,aligning with the requirements for refined control outlined in the“Construction Engineering Quantity List Pricing Standard”(GB/T50500-2024).It provides a replicable progress management paradigm for similar projects.展开更多
The curved bending regions of serpentine flow channels play a crucial role in mass transfer and the overall performance of the flow field in proton exchange membrane fuel cells(PEMFCs).This paper proposes a“2D Topolo...The curved bending regions of serpentine flow channels play a crucial role in mass transfer and the overall performance of the flow field in proton exchange membrane fuel cells(PEMFCs).This paper proposes a“2D TopologyCurvature Optimization”progressive design method to optimize the bend area structures,aiming to enhance PEMFC performance.Through numerical simulations,it compares the topology-curvature optimization model with both the algorithm-based optimization model and a validation model,and analyzes the mass transfer,heat transfer characteristics,and output performance of PEMFC under different flow fields.The results indicate that the optimized structures improve convection and diffusion within the flow field,effectively enhancing the transport and distribution of oxygen and water within the PEMFC.Performance improvements,ranked from highest to lowest,are TS-III>MD-G(Model-GA)>MD-P(Model-PSO)>TS-II>TS-I.Among the optimized models,TS-III(Topology Structure-III)exhibits the greatest increases in peak current density and peak power density,with improvement of 4.72%and 3.12%,respectively.When considering the relationship between performance improvement and pressure drop using the efficiency evaluation criterion(EEC),TS-II demonstrates the best overall performance.展开更多
Life Cycle Tracking(LCT)involves continuous monitoring and analy-sis of various activities associated with a vehicle.The crucial factor in the LCT is to ensure the validity of gathered data as numerous supply chain ph...Life Cycle Tracking(LCT)involves continuous monitoring and analy-sis of various activities associated with a vehicle.The crucial factor in the LCT is to ensure the validity of gathered data as numerous supply chain phases are involved and the data is assessed by multiple stakeholders.Frauds and swindling activities can be prevented if the history of the vehicles is made available to the interested parties.Blockchain provides a way of enforcing trustworthiness to the supply chain participants and the data associated with the various actions per-formed.Machine learning techniques when combined decentralized nature of blockchains can be used to develop a robust Vehicle LCT model.In the proposed work,Harmonic Optimized Gradient Descent andŁukasiewicz Fuzzy(HOGD-LF)Vehicle Life Cycle Tracking in Cloud Environment is proposed and it involves three stages.First,the Progressive Harmonic Optimized User Registra-tion and Authentication model is designed for computationally efficient registra-tion and authentication.Next,for the authentic user,the Gradient Descent Blockchain-based SVM Data Encryption model is designed with minimum CPU utilization.Finally,Łukasiewicz Fuzzy Smart Contract Verification is per-formed with encrypted data to ensure accurate and precise fraudulent activity deduction.The experimental analysis shows that the proposed method achieves significant performance in terms of life cycle’s prediction time,overhead,and accuracy for a different number of users.展开更多
文摘Small municipal projects,constrained by resources and extensive management models,commonly face issues of delayed progress and cost overruns.This study uses a road renovation project in a city as an empirical case.By integrating BIM collaborative platforms with real-time IoT monitoring systems,it achieves construction conflict prediction and dynamic resource allocation.Combining rolling planning methods and risk probability models,a“forecast-adaptation”dual-mode management framework is formed.After implementation,the total duration was shortened by 15%,the rework rate decreased by 20%,and inter-departmental communication efficiency improved by 30%.The case validates the effectiveness of digital tools and dynamic mechanisms working together to optimize,aligning with the requirements for refined control outlined in the“Construction Engineering Quantity List Pricing Standard”(GB/T50500-2024).It provides a replicable progress management paradigm for similar projects.
基金supported by the National Natural Science Foundation of China(Grant No.52266018)the Doctoral Initiation Project of Xinjiang Institute of Engineering,China(No.2023XGYBQJ01)the Xinjiang Tianshan Talent-Youth Science and Technology Top Talents Project,China(No.2022TSYCCX0051)。
文摘The curved bending regions of serpentine flow channels play a crucial role in mass transfer and the overall performance of the flow field in proton exchange membrane fuel cells(PEMFCs).This paper proposes a“2D TopologyCurvature Optimization”progressive design method to optimize the bend area structures,aiming to enhance PEMFC performance.Through numerical simulations,it compares the topology-curvature optimization model with both the algorithm-based optimization model and a validation model,and analyzes the mass transfer,heat transfer characteristics,and output performance of PEMFC under different flow fields.The results indicate that the optimized structures improve convection and diffusion within the flow field,effectively enhancing the transport and distribution of oxygen and water within the PEMFC.Performance improvements,ranked from highest to lowest,are TS-III>MD-G(Model-GA)>MD-P(Model-PSO)>TS-II>TS-I.Among the optimized models,TS-III(Topology Structure-III)exhibits the greatest increases in peak current density and peak power density,with improvement of 4.72%and 3.12%,respectively.When considering the relationship between performance improvement and pressure drop using the efficiency evaluation criterion(EEC),TS-II demonstrates the best overall performance.
基金The authors wish to express their sincere thanks to the Department of Science&Technology,New Delhi,India(Project ID:SR/FST/ETI-371/2014)express their sincere thanks to the INSPIRE fellowship(DST/INSPIRE Fellowship/2016/IF160837)for their financial support.The authors also thank SASTRA Deemed to be University,Thanjavur,India for extending the infrastructural support to carry out this work.
文摘Life Cycle Tracking(LCT)involves continuous monitoring and analy-sis of various activities associated with a vehicle.The crucial factor in the LCT is to ensure the validity of gathered data as numerous supply chain phases are involved and the data is assessed by multiple stakeholders.Frauds and swindling activities can be prevented if the history of the vehicles is made available to the interested parties.Blockchain provides a way of enforcing trustworthiness to the supply chain participants and the data associated with the various actions per-formed.Machine learning techniques when combined decentralized nature of blockchains can be used to develop a robust Vehicle LCT model.In the proposed work,Harmonic Optimized Gradient Descent andŁukasiewicz Fuzzy(HOGD-LF)Vehicle Life Cycle Tracking in Cloud Environment is proposed and it involves three stages.First,the Progressive Harmonic Optimized User Registra-tion and Authentication model is designed for computationally efficient registra-tion and authentication.Next,for the authentic user,the Gradient Descent Blockchain-based SVM Data Encryption model is designed with minimum CPU utilization.Finally,Łukasiewicz Fuzzy Smart Contract Verification is per-formed with encrypted data to ensure accurate and precise fraudulent activity deduction.The experimental analysis shows that the proposed method achieves significant performance in terms of life cycle’s prediction time,overhead,and accuracy for a different number of users.
