Structural Engineering's Readiness to Face the Challenges of Natural Disasters in the 21st Century

Lie Jie (1), Xie Guilin (2), Deng Jiao (3)
(1) The University of Tokyo, Japan,
(2) University of Science and Technology of Hanoi, Viet Nam,
(3) Universiti Sains Malaysia, Malaysia

Abstract

Research Background: In the modern era, the challenges of natural disasters are increasing as a result of climate change and uncontrolled development. Therefore, structural engineering preparedness in the face of natural disasters is crucial to minimize losses and negative impacts. This research aims to investigate structural engineering preparedness in facing the challenges of natural disasters in the 21st century. This is done by analyzing technical approaches, regulations, and innovations in structural engineering that can improve the resilience of infrastructure to natural disasters. The research methods used include literature review, policy analysis, and interviews with structural engineering experts. Data were collected and analyzed to understand recent developments in structural technology that can cope with natural disasters, and to evaluate the successful implementation of regulations and best practices. The results showed that structural engineering has undergone significant developments in dealing with natural disasters in the 21st century. Approaches such as anti-earthquake design, sensor technology for structural monitoring, and construction of disaster-resistant infrastructure have helped improve the resilience of infrastructure to natural disasters. From the results of this study, it can be concluded that the readiness of structural engineering to face the challenges of natural disasters in the 21st century has improved significantly. However, further efforts in technology development, regulation, and public awareness are still needed to ensure more resilient infrastructure against natural disasters in the future.

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References

Alma Çall?, B., & Ediz, Ç. (2023). Top concerns of user experiences in Metaverse games: A text-mining based approach. Entertainment Computing, 46, 100576. https://doi.org/10.1016/j.entcom.2023.100576

Besser, A., Flett, G. L., & Zeigler-Hill, V. (2022). Adaptability to a sudden transition to online learning during the COVID-19 pandemic: Understanding the challenges for students. Scholarship of Teaching and Learning in Psychology, 8(2), 85–105. https://doi.org/10.1037/stl0000198

Betlem, K., Kaur, A., Hudson, A. D., Crapnell, R. D., Hurst, G., Singla, P., Zubko, M., Tedesco, S., Banks, C. E., Whitehead, K., & Peeters, M. (2019). Heat-Transfer Method: A Thermal Analysis Technique for the Real-Time Monitoring of Staphylococcus aureus Growth in Buffered Solutions and Digestate Samples. ACS Applied Bio Materials, 2(9), 3790–3798. https://doi.org/10.1021/acsabm.9b00409

Castañeda-Babarro, A., Arbillaga-Etxarri, A., Gutiérrez-Santamaría, B., & Coca, A. (2020). Physical Activity Change during COVID-19 Confinement. International Journal of Environmental Research and Public Health, 17(18), 6878. https://doi.org/10.3390/ijerph17186878

Chow, J. C. L., Sanders, L., & Li, K. (2023). Impact of ChatGPT on medical chatbots as a disruptive technology. Frontiers in Artificial Intelligence, 6, 1166014. https://doi.org/10.3389/frai.2023.1166014

Chung, Y.-A., Zhang, Y., Han, W., Chiu, C.-C., Qin, J., Pang, R., & Wu, Y. (2021). w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training. 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 244–250. https://doi.org/10.1109/ASRU51503.2021.9688253

Cohen, L., Malloy, C., & Nguyen, Q. (2020). Lazy Prices. The Journal of Finance, 75(3), 1371–1415. https://doi.org/10.1111/jofi.12885

Coman, C., ?îru, L. G., Mese?an-Schmitz, L., Stanciu, C., & Bularca, M. C. (2020). Online Teaching and Learning in Higher Education during the Coronavirus Pandemic: Students’ Perspective. Sustainability, 12(24), 10367. https://doi.org/10.3390/su122410367

Dong, H., & Liu, Y. (2023). Metaverse Meets Consumer Electronics. IEEE Consumer Electronics Magazine, 12(3), 17–19. https://doi.org/10.1109/MCE.2022.3229180

Dube, B. (2020). Rural online learning in the context of COVID 19 in South Africa: Evoking an inclusive education approach. Multidisciplinary Journal of Educational Research, 10(2), 135. https://doi.org/10.17583/remie.2020.5607

Dubey, J. P. (2021). Toxoplasmosis of Animals and Humans (3rd ed.). CRC Press. https://doi.org/10.1201/9781003199373

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V., Ahuja, M., Albanna, H., Albashrawi, M. A., Al-Busaidi, A. S., Balakrishnan, J., Barlette, Y., Basu, S., Bose, I., Brooks, L., Buhalis, D., … Wright, R. (2023). Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

Dzulkifli, I. (2021). Teaching and Learning Aids to Support the Deaf Students Studying Islamic Education. Pertanika Journal of Social Sciences and Humanities, 29(4), 2263–2279. https://doi.org/10.47836/pjssh.29.4.09

Else, H. (2023). Abstracts written by ChatGPT fool scientists. Nature, 613(7944), 423–423. https://doi.org/10.1038/d41586-023-00056-7

Favale, T., Soro, F., Trevisan, M., Drago, I., & Mellia, M. (2020). Campus traffic and e-Learning during COVID-19 pandemic. Computer Networks, 176, 107290. https://doi.org/10.1016/j.comnet.2020.107290

Gao, L. X., & Zhang, L. J. (2020). Teacher Learning in Difficult Times: Examining Foreign Language Teachers’ Cognitions About Online Teaching to Tide Over COVID-19. Frontiers in Psychology, 11, 549653. https://doi.org/10.3389/fpsyg.2020.549653

Gosal, A. S., Geijzendorffer, I. R., Václavík, T., Poulin, B., & Ziv, G. (2019). Using social media, machine learning and natural language processing to map multiple recreational beneficiaries. Ecosystem Services, 38, 100958. https://doi.org/10.1016/j.ecoser.2019.100958

Hao, J., & Ho, T. K. (2019). Machine Learning Made Easy: A Review of Scikit-learn Package in Python Programming Language. Journal of Educational and Behavioral Statistics, 44(3), 348–361. https://doi.org/10.3102/1076998619832248

Ibrar, I., Naji, O., Sharif, A., Malekizadeh, A., Alhawari, A., Alanezi, A. A., & Altaee, A. (2019). A Review of Fouling Mechanisms, Control Strategies and Real-Time Fouling Monitoring Techniques in Forward Osmosis. Water, 11(4), 695. https://doi.org/10.3390/w11040695

Jansen, M., Donkervliet, J., Trivedi, A., & Iosup, A. (2023). Can My WiFi Handle the Metaverse? A Performance Evaluation Of Meta’s Flagship Virtual Reality Hardware. Companion of the 2023 ACM/SPEC International Conference on Performance Engineering, 297–303. https://doi.org/10.1145/3578245.3585022

Kang, D., Choi, H., & Nam, S. (2022). Learning Cultural Spaces: A Collaborative Creation of a Virtual Art Museum Using Roblox. International Journal of Emerging Technologies in Learning (iJET), 17(22), 232–245. https://doi.org/10.3991/ijet.v17i22.33023

Kapasia, N., Paul, P., Roy, A., Saha, J., Zaveri, A., Mallick, R., Barman, B., Das, P., & Chouhan, P. (2020). Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal, India. Children and Youth Services Review, 116, 105194. https://doi.org/10.1016/j.childyouth.2020.105194

Koller, O., Camgoz, N. C., Ney, H., & Bowden, R. (2020). Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(9), 2306–2320. https://doi.org/10.1109/TPAMI.2019.2911077

Larrabee Sønderlund, A., Hughes, E., & Smith, J. (2019). The efficacy of learning analytics interventions in higher education: A systematic review. British Journal of Educational Technology, 50(5), 2594–2618. https://doi.org/10.1111/bjet.12720

Loewen, S., Crowther, D., Isbell, D. R., Kim, K. M., Maloney, J., Miller, Z. F., & Rawal, H. (2019). Mobile-assisted language learning: A Duolingo case study. ReCALL, 31(3), 293–311. https://doi.org/10.1017/S0958344019000065

Lou, N. M., & Noels, K. A. (2019). Promoting growth in foreign and second language education: A research agenda for mindsets in language learning and teaching. System, 86, 102126. https://doi.org/10.1016/j.system.2019.102126

Majumder, P., Majumder, M., Saha, A. K., Sarkar, K., & Nath, S. (2019). Real time reliability monitoring of hydro?power plant by combined cognitive decision?making technique. International Journal of Energy Research, 43(9), 4912–4939. https://doi.org/10.1002/er.4530

Maulida, A., Hanif, H., Kamal, M., & Suryani Oktari, R. (2023). Roblox-based tsunami survival game: A tool to stimulate early childhood disaster preparedness skills. E3S Web of Conferences, 447, 02003. https://doi.org/10.1051/e3sconf/202344702003

Memon, N. A., Chown, D., & Alkouatli, C. (2021). Descriptions and enactments of Islamic pedagogy: Reflections of alumni from an Islamic Teacher Education Programme. Pedagogy, Culture & Society, 29(4), 631–649. https://doi.org/10.1080/14681366.2020.1775687

Mishra, L., Gupta, T., & Shree, A. (2020). Online teaching-learning in higher education during lockdown period of COVID-19 pandemic. International Journal of Educational Research Open, 1, 100012. https://doi.org/10.1016/j.ijedro.2020.100012

Oulaich, S. (2020). Pedagogy in the Digital Age: Making Learning Effective and Engaging for Students. In M. Ben Ahmed, A. A. Boudhir, D. Santos, M. El Aroussi, & ?. R. Karas (Eds.), Innovations in Smart Cities Applications Edition 3 (pp. 168–182). Springer International Publishing. https://doi.org/10.1007/978-3-030-37629-1_14

Pardo, A., Jovanovic, J., Dawson, S., Gaševi?, D., & Mirriahi, N. (2019). Using learning analytics to scale the provision of personalised feedback. British Journal of Educational Technology, 50(1), 128–138. https://doi.org/10.1111/bjet.12592

Payal, R., Sharma, N., & Dwivedi, Y. K. (2024). Unlocking the impact of brand engagement in the metaverse on Real-World purchase intentions: Analyzing Pre-Adoption behavior in a futuristic technology platform. Electronic Commerce Research and Applications, 65, 101381. https://doi.org/10.1016/j.elerap.2024.101381

Pham, A. T. (2022). University Students’ Perceptions on the Use of Quizlet in Learning Vocabulary. International Journal of Emerging Technologies in Learning (iJET), 17(07), 54–63. https://doi.org/10.3991/ijet.v17i07.29073

Selwyn, N. (2019). What’s the Problem with Learning Analytics? Journal of Learning Analytics, 6(3). https://doi.org/10.18608/jla.2019.63.3

Setiawan, M. R., & Wiedarti, P. (2020). The effectiveness of Quizlet application towards students’ motivation in learning vocabulary. Studies in English Language and Education, 7(1), 83–95. https://doi.org/10.24815/siele.v7i1.15359

Shadiev, R., & Yang, M. (2020). Review of Studies on Technology-Enhanced Language Learning and Teaching. Sustainability, 12(2), 524. https://doi.org/10.3390/su12020524

Spernjak, A. (2021). Using ICT to Teach Effectively at COVID-19. 2021 44th International Convention on Information, Communication and Electronic Technology (MIPRO), 617–620. https://doi.org/10.23919/MIPRO52101.2021.9596878

Teimouri, Y., Plonsky, L., & Tabandeh, F. (2022). L2 grit: Passion and perseverance for second-language learning. Language Teaching Research, 26(5), 893–918. https://doi.org/10.1177/1362168820921895

Yang, L., Dai, M., Cao, Q., Ding, S., Zhao, Z., Cao, X., Wen, Z., Wang, H., Xie, M., & Fu, F. (2021). Real-time monitoring hypoxia at high altitudes using electrical bioimpedance technique: An animal experiment. Journal of Applied Physiology, 130(4), 952–963. https://doi.org/10.1152/japplphysiol.00712.2020

Authors

Lie Jie
lie6565@gmail.com (Primary Contact)
Xie Guilin
Deng Jiao
Jie, L., Guilin, X., & Jiao, D. (2024). Structural Engineering’s Readiness to Face the Challenges of Natural Disasters in the 21st Century. Journal of Moeslim Research Technik, 1(2), 63–73. Retrieved from https://journal.ypidathu.or.id/index.php/technik/article/view/832

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