The Adverse Impacts of Climate Change on Infrastructure and Proposed Adaptation Framework for Residential Structures: Part 1
DOI:
https://doi.org/10.59573/emsj.7(5).2023.3Keywords:
Climate Change, Structures, Adaptation, Sustainability, Resilience, Engineering, Construction, InfrastructureAbstract
With global change in climate patterns, the uncertainty of natural hazards has also gone up significantly in the last few years. Cold countries have been experiencing seasons of extreme heat and drought whereas dry and arid areas have reported seasons of cold weather or torrential rains. In the past, monsoons in the Indian subcontinent have been very reliable in terms of timing and intensity; however in recent times, both their timing and intensity have been uncertain. Elsewhere in the world, tragic incidents have been reported due to freezing, heat waves or flooding most of which have been attributed to climate change caused by human living and industrialization on our planet. In this paper, the authors introduce to the perils of climate changes caused by rampant urbanization, industrialization, and the associated development. The authors present the importance of adapting every phase of infrastructure development such as materials, engineering, design, construction, and maintenance of our residential structures in order to minimize the impacts of human infrastructure development on climate. The various adaptations required to bring these changes are proposed and methods to make these adaptations practical are put forward. This first part of the overall study focuses on geometric, material and design adaptations. A plausible framework for creating sustainable urban residential infrastructure is proposed. Finally, conclusions are made, and a brief introduction is provided about the next part of this study and further adaptations that complement this framework.
References
ACI 440.1R-15. (2015). Guide for the Design and Construction of Structural Concrete Reinforced with Fiber-Reinforced Polymer (FRP) Bars, ACI Committee 440.
ACI 239R-18. (2018). Ultra-High-Performance Concrete: An Emerging Technology Report. ACI Committee 239, Emerging Technology Series.
Chandrashekhar, V. (2019). As the Monsoon and Climate Shift, India Faces Worsening Floods. Yale school of Environment, https://e360.yale.edu/features/as-the-monsoon-and-climate-shift-india-faces-worsening-floods
Derouin, S. (2023). Is low- to no-carbon cement the future of construction? ASCE Civil Engineering Source. https://www.asce.org/publications-and-news/civil-engineering-source/civil-engineering-magazine/article/2023/10/is-low--to-no-carbon-cement-the-future-of-construction
Fehling, E., Schmidt, M., Walraven, J., Leutbecher, T., & Fröhlich, S. (2008). Ultra-high performance concrete (UHPC). In Proceedings of the Second International Symposium on Ultra High Performance Concrete.
Gee, D., Asaad, M., & Tadros, M. K. (2020). Ultra-High-Performance Concrete Optimization of Double-Tee Bridge Beams, Aspire, Winter 2020, 32-36.
Jonnalagadda, S. & Vemuri, S. (2023a). Novel Methods and Materials for Concrete Floor Slab Construction for Small Family Housing Buildings in India. International Research Journal of Engineering and Technology, 10(7), 1048-1056.
Jonnalagadda, S. & Vemuri, S. (2023b). Challenges in Traditional Concrete Slab Construction for Housing Buildings in Developing Countries and Critical Need for Novel Methods. International Journal of Advances in Engineering and Management, 5(5), 176-186.
Jonnalagadda, S. & Vemuri, S. (2023c). Choosing Conventional Concrete, Ultra-High Performance Concrete or Steel as Material of Construction: An Opinion. European Modern Studies Journal, 7(4), 280-288.
Jonnalagadda, S. (2016). Artificial Neural Networks, Non Linear Auto Regression Networks (NARX) and Causal Loop Diagram Approaches for Modelling Bridge Infrastructure Conditions. All Dissertations, 1725. https://tigerprints.clemson.edu/all_dissertations/1725
Jonnalagadda, S., Ross, B.E. and Khademi, A. (2016). A modelling approach for evaluating the effects of design variables on bridge condition ratings. Journal of Structural Integrity and Maintenance, 1(4), 167-176.
Jonnalagadda, S. and Ross, B.E. (2017). Application of Causal Loops Diagrams to Model Improvement Costs for Highway Bridge Inventories, TRB 96th Annual Meeting Compendium of Papers (No. 17- 00124)
Jonnalagadda, S., Sreedhara, S., Soltani, M., & Ross, B. E. (2021). Foam-void precast concrete double-tee members. PCI Journal, 66(1).
O'Neill, M.K. (2023). Cement-free Concrete Startup Paves Path to Low-Carbon Construction. SLICE OF MIT. https://alum.mit.edu/slice/cement-free-concrete-startup-paves-path-low-carbon-construction
Krishnakumar. R. (2023). Caught in the deluge: Flooding in India’s ill-equipped cities. Deccan Herald. https://www.deccanherald.com/india/caught-in-the-deluge-flooding-in-india-s-ill-equipped-cities-1237366.html
Nowak, A.S. (1992). Calibration of LRFD Bridge Design Code, NCHRP Project 12-33. University of Michigan, Ann Arbor, MI.
Roxy, M. K., Ghosh, S., Pathak, A., Athulya, R., Mujumdar, M., Murtugudde, R. & Rajeevan, M. (2017). A threefold rise in widespread extreme rain events over central India. Nature Communications, 8(1), 708.
Vemuri, S. & Jonnalagadda, S. (2023a). Wind Analysis of Tall Buildings Using Codal Provisions, Stochastic Approach and CFD – A Comparative Study. International Journal of Advances in Engineering and Management, 5(7), 58-68.
Vemuri, S. & Jonnalagadda, S. (2023b). Analyses of Box Bridge and Comparison of Structural Behavior using 3D Finite Element and Typical 1D Line Models. International Journal for Research in Applied Science & Engineering Technology, 11(8), 488-497.
Vemuri, S. & Jonnalagadda, S. (2023c). A Stochastic Approach to Determine Along-Wind Response of Tall Buildings. International Research Journal of Engineering and Technology, 10(7), 961-969.
Yudenfreund, M., Odler, I., & Brunauer, S. (1972). Hardened Portland cement pastes of low porosity I. Materials and experimental methods. Cement and Concrete Research, 2(3), 313-330.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Terms and conditions of Creative Commons Attribution 4.0 International License apply to all published manuscripts. This Journal is licensed under a Creative Commons Attribution 4.0 International License. This licence allows authors to use all articles, data sets, graphics and appendices in data mining applications, search engines, web sites, blogs and other platforms by providing appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
A competing interest exists when professional judgment concerning the validity of research is influenced by a secondary interest, such as financial gain. We require that our authors reveal all possible conflicts of interest in their submitted manuscripts.
The Editor reserves the right to shorten and adjust texts. Significant changes in the text will be agreed with the Authors.
ISSN 


