Comparative Analysis of CWSM Model from Engineering Point of View

Authors

  • Ummey Habiba Shoshi College of Civil Engineering and Architecture, China Three Gorges University, China
  • Asma Batool Education Department Punjab, Pakistan https://orcid.org/0009-0009-9550-1505
  • Muhammad Adeel Afzal COMSATS Institute of Information Technology CIIT, Islamabad, Pakistan

DOI:

https://doi.org/10.58341/srj.v2i2.17

Abstract

From dam safety point of view, timely thermal analysis is very important to prevent dam from cracking. Keep in view the importance of thermal analysis of dam from engineering point of view; two models were selected to complete this comparative study. Different authors already had done studies regarding thermal analysis of dams. Different methodologies and parameters were used for thermal analysis in these models. In this article, comparison of improved HST and CWSM for thermal analysis of dam is done. This study proves that CWSM is better than improved HST model. Because of the incorporation of several sensors that may collect data from various places in an environment, dam body, sun elevation, water temperature and water pressure. So CWSM can produce measurements that are more precise.

Keywords:

CWSM, Improved HST, Thermal Analysis, Concrete Temperature, Dam Analysis, 3-D Analysis

References

Afzal, J., Yihong, Z., Afzal, U., & Aslam, M. (2023). A complex wireless sensors model (CWSM) for real time monitoring of dam temperature. Heliyon, 9(2).

https://doi.org/10.1016/j.heliyon.2023.e13371

Afzal, J., Yihong, Z., Aslam, M., & Qayum, M. (2022). A study on thermal analysis of under-construction concrete dam. Case Studies in Construction Materials, 17, e01206.

https://doi.org/10.1016/j.cscm.2022.e01206

Afzal, J., Yihong, Z., Qayum, M., Afzal, U., & Aslam, M. (2023). Effects of dam on temperature, humidity and precipitation of surrounding area: a case study of Gomal Zam Dam in Pakistan. Environmental Science and Pollution Research, 30(6), 14592-14603.

https://doi.org/10.1007/s11356-022-23112-7

Alnaggar, M., Di Luzio, G., & Cusatis, G. (2017). Modeling time-dependent behavior of concrete affected by alkali silica reaction in variable environmental conditions. Materials, 10(5), 471.

https://doi.org/10.3390/ma10050471

Belmokre, A., Santillan, D., & Mihoubi, M. K. (2020, December). Improved hydrostatic-season-time model for dam monitoring: Inclusion of a thermal analytical solution. In Proceedings of 1st International Conference on Structural Damage Modelling and Assessment: SDMA 2020, 4-5 August 2020, Ghent University, Belgium (pp. 67-78). Singapore: Springer Singapore.

https://doi.org/10.1007/978-981-15-9121-1_5

Bukenya, P., Moyo, P., Beushausen, H., & Oosthuizen, C. (2014). Health monitoring of concrete dams: a literature review. Journal of Civil Structural Health Monitoring, 4, 235-244.

https://doi.org/10.1007/s13349-014-0079-2

Chen, Y. L., Wang, C. J., Li, S. Y., & Chen, L. J. (2003). The effect of construction designs on temperature field of a roller compacted concrete dam—a simulation analysis by a finite element method. Canadian Journal of Civil Engineering, 30(6), 1153-1156.

https://doi.org/10.1139/l03-076

Emmons, H. W. (1943). The numerical solution of heat-conduction problems. Transactions of the American Society of Mechanical Engineers, 65(6), 607-612.

https://doi.org/10.1115/1.4018854

Esser, F., & Vliegenthart, R. (2017). Comparative research methods. The international encyclopedia of communication research methods, 1-22.

https://doi.org/10.1002/9781118901731.iecrm0035

Kang, F., Liu, J., Li, J., & Li, S. (2017). Concrete dam deformation prediction model for health monitoring based on extreme learning machine. Structural Control and Health Monitoring, 24(10), e1997.

https://doi.org/10.1002/stc.1997

Léger, P., Côté, P., & Tinawi, R. (1996). Finite element analysis of concrete swelling due to alkali-aggregate reactions in dams. Computers & structures, 60(4), 601-611.

https://doi.org/10.1016/0045-7949(95)00440-8

Li, Y., Bao, T., Shu, X., Gao, Z., Gong, J., & Zhang, K. (2021). Data-driven crack behavior anomaly identification method for concrete dams in long-term service using offline and online change point detection. Journal of Civil Structural Health Monitoring, 11, 1449-1460.

https://doi.org/10.1007/s13349-021-00520-w

Yazdchi, M., Khalili, N., & Valliappan, S. (1999). Non-linear seismic behaviour of concrete gravity dams using coupled finite element–boundary element technique. International Journal for Numerical Methods in Engineering, 44(1), 101-130.

https://doi.org/10.1002/(sici)1097-0207(19990110)44:1<101::aid-nme495>3.0.co;2-4

Yuan, Y., & Wan, Z. L. (2002). Prediction of cracking within early-age concrete due to thermal, drying and creep behavior. Cement and concrete research, 32(7), 1053-1059.

https://doi.org/10.1016/s0008-8846(02)00743-3

Published

2023-04-30

How to Cite

Shoshi, U. H. ., Batool, A., & Afzal, M. A. . (2023). Comparative Analysis of CWSM Model from Engineering Point of View. Siazga Research Journal, 2(2), 110–116. https://doi.org/10.58341/srj.v2i2.17

Issue

Section

Articles

Categories