Seismic Optimization Design and Application of Civil Engineering Structures Integrated with Building Robot System Technology

Shaoxu Li, Lisen Shen

Abstract


Objective: The seismic data monitoring is important for resource distribution, capacity planning, quality of service analysis, error monitoring and isolation, and safety management. The seismic optimization of building civil engineering structures is effectively improved. Several issues pertaining to seismic optimization monitoring of civil engineering structures have come to light as a result of the ongoing advancements in science, technology, and the internet. Method: The study creates a seismic optimization method for civil engineering structures, identifying hidden hazards and implementing safety management and control based on internet-based characteristics. Regarding the problem that the existing high-rise building installation projects mainly rely on manual work, the relevant technical research on the corresponding intelligent operation equipment for the installation project is carried out, the kinematics analysis of the construction installation robot is performed, and the search for security loopholes is realized under the seismic optimization design method of integrated building civil engineering structures to quickly find the safety adaptability. Results: The optimal safety weights and thresholds are obtained, and random initial thresholds and weights are used for seismic optimization of civil engineering structures for safety monitoring. This paper studies the seismic resistance of the current buildings and explains the seismic problems in civil engineering structures in detail while giving a feasible plan to eliminate potential safety hazards and avoid harm caused by earthquakes.

 

Doi: 10.28991/HIJ-2024-05-04-017

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Keywords


Civil Engineering Structure; Earthquake Resistance; Building Robot System Technology; Seismic Optimization.

References


Munteanu, R. I., Nica, G. B., Calofir, V., Iliescu, S. S., & Sirbu, O. T. (2020). Building seismic behavior improvement using an optimal control algorithm. 2020 22nd IEEE International Conference on Automation, Quality and Testing, Robotics - THETA, AQTR 2020 - Proceedings, 1–6. doi:10.1109/AQTR49680.2020.9130005.

Gu, H., Liang, H., Tong, G., Liu, F., Liu, Y., Liu, X., Jia, Z., & Paul, J. (2021). Research on vibration mechanism and control technology of building structure under earthquake action. Journal of Vibroengineering, 23(6), 1395–1406. doi:10.21595/jve.2021.22090.

Baghdadi, A., Heristchian, M., & Kloft, H. (2020). Design of prefabricated wall-floor building systems using meta-heuristic optimization algorithms. Automation in Construction, 114, 103156. doi:10.1016/j.autcon.2020.103156.

Cerè, G., Rezgui, Y., Zhao, W., & Petri, I. (2022). Shear walls optimization in a reinforced concrete framed building for seismic risk reduction. Journal of Building Engineering, 54, 104620. doi:10.1016/j.jobe.2022.104620.

Chea, C. P., Bai, Y., Pan, X., Arashpour, M., & Xie, Y. (2020). An integrated review of automation and robotic technologies for structural prefabrication and construction. Transportation Safety and Environment, 2(2), 81–96. doi:10.1093/tse/tdaa007.

Leyva, H., Bojórquez, J., Bojórquez, E., Reyes-Salazar, A., Carrillo, J., & López-Almansa, F. (2021). Multi-objective seismic design of BRBs-reinforced concrete buildings using genetic algorithms. Structural and Multidisciplinary Optimization, 64(4), 2097–2112. doi:10.1007/s00158-021-02965-5.

Yu, H., Peng, Z., He, Z., & Huang, C. (2023). Application maturity evaluation of building steel structure welding robotic technology based on combination weight and multi-level grey theory. Journal of Intelligent and Fuzzy Systems, 44(4), 6435–6451. doi:10.3233/JIFS-223563.

Izumotani, S., Takeuchi, M., Murayama, H., & Okazaki, K. (2021). Estimating rock properties using seismic refraction survey data: a case study in an abandoned road tunnel. Exploration Geophysics, 52(4), 409–418. doi:10.1080/08123985.2020.1828856.

Hao, H., Bi, K., Chen, W., Pham, T. M., & Li, J. (2023). Towards next generation design of sustainable, durable, multi-hazard resistant, resilient, and smart civil engineering structures. Engineering Structures, 277, 115477. doi:10.1016/j.engstruct.2022.115477.

Goli, A., Alaghmandan, M., & Barazandeh, F. (2021). Parametric Structural Topology Optimization of High-Rise Buildings Considering Wind and Gravity Loads. Journal of Architectural Engineering, 27(4), 4021038. doi:10.1061/(asce)ae.1943-5568.0000511.

Károly, L., Stan, O., & Miclea, L. (2020). Seismic model parameter optimization for building structures. Sensors (Switzerland), 20(7), 1980. doi:10.3390/s20071980.

Zakian, P., & Kaveh, A. (2023). Seismic design optimization of engineering structures: a comprehensive review. Acta Mechanica, 234(4), 1305–1330. doi:10.1007/s00707-022-03470-6.

Mei, L., & Wang, Q. (2021). Structural optimization in civil engineering: A literature review. Buildings, 11(2), 1–28. doi:10.3390/buildings11020066.

Joyner, M. D., Gardner, C., Puentes, B., & Sasani, M. (2021). Resilience-Based seismic design of buildings through multiobjective optimization. Engineering Structures, 246, 113024. doi:10.1016/j.engstruct.2021.113024.

Martin, A., & Deierlein, G. G. (2020). Structural topology optimization of tall buildings for dynamic seismic excitation using modal decomposition. Engineering Structures, 216, 110717. doi:10.1016/j.engstruct.2020.110717.

Idels, O., & Lavan, O. (2021). Optimization-based seismic design of steel moment-resisting frames with nonlinear viscous dampers. Structural Control and Health Monitoring, 28(1), 2655. doi:10.1002/stc.2655.

Zakian, P., & Kaveh, A. (2020). Topology optimization of shear wall structures under seismic loading. Earthquake Engineering and Engineering Vibration, 19(1), 105–116. doi:10.1007/s11803-020-0550-5.

Caicedo, D., Lara-Valencia, L., Blandon, J., & Graciano, C. (2021). Seismic response of high-rise buildings through metaheuristic-based optimization using tuned mass dampers and tuned mass dampers inerter. Journal of Building Engineering, 34, 101927. doi:10.1016/j.jobe.2020.101927.

Baghdadi, A., Heristchian, M., & Kloft, H. (2021). Connections placement optimization approach toward new prefabricated building systems. Engineering Structures, 233, 111648. doi:10.1016/j.engstruct.2020.111648.

Ahmadie Amiri, H., & Estekanchi, H. E. (2023). Life cycle cost-based optimization framework for seismic design and target safety quantification of dual steel buildings with buckling-restrained braces. Earthquake Engineering and Structural Dynamics, 52(13), 4048–4081. doi:10.1002/eqe.3864.

Baduge, S. K., Thilakarathna, S., Perera, J. S., Arashpour, M., Sharafi, P., Teodosio, B., Shringi, A., & Mendis, P. (2022). Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications. Automation in Construction, 141, 104440. doi:10.1016/j.autcon.2022.104440.

Zhang, F., Chan, A. P. C., Darko, A., Chen, Z., & Li, D. (2022). Integrated applications of building information modeling and artificial intelligence techniques in the AEC/FM industry. Automation in Construction, 139, 104289. doi:10.1016/j.autcon.2022.104289.

Rane, N. L. (2023). Integrating Leading-Edge Artificial Intelligence (AI), Internet of Things (IoT), and Big Data Technologies for Smart and Sustainable Architecture, Engineering and Construction (AEC) Industry: Challenges and Future Directions. International Journal of Data Science and Big Data Analytics, 3(2), 73–95. doi:10.51483/ijdsbda.3.2.2023.73-95.


Full Text: PDF

DOI: 10.28991/HIJ-2024-05-04-017

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