Thermal coupling optimization of bridge environmental impact under natural conditions

[EN] Infrastructure is a crucial aspect of promoting worldwide economic integration. However, the construction of infrastructure often results in high energy consumption and substantial emissions of greenhouse gases. Over time, the environment can also cause significant damage to bridges, leading to...

Descripción completa

Detalles Bibliográficos
Autores: Zhou, Zhi Wu, Zhou, Ji, Alcalá-González, Julián|||0000-0003-1376-8441, Yepes, V.|||0000-0001-5488-6001
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/220560
Acceso en línea:https://riunet.upv.es/handle/10251/220560
Access Level:acceso abierto
Palabra clave:Construction industry
Structure
Temperature
Topology optimization
Stress
Sensitivity
09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación
Descripción
Sumario:[EN] Infrastructure is a crucial aspect of promoting worldwide economic integration. However, the construction of infrastructure often results in high energy consumption and substantial emissions of greenhouse gases. Over time, the environment can also cause significant damage to bridges, leading to repeated repairs and replacements that further harm the environment. This research aims to minimize the environmental impact of bridge maintenance over a 100-year lifespan. The study utilizes a three-dimensional dynamic thermo-mechanical optimization model developed through comprehensive research and interdisciplinary collaboration in various fields such as Bibliometrics, Fluid Mechanics, Structural Dynamics, Thermoelectricity, and Damage Mechanics. From examining single crystal structures at a microscopic level to examining system components under extreme temperatures, this study provides a system for reducing environmental pollution. The model's reliability is shown through a case study, demonstrating a reduction of 49.9 million tonnes of emissions, equivalent to 1.91% of total design emissions, over a 100-year maintenance period. This research provides a foundation for future studies and presents an approach for evaluating the environmental impact of long-term temperature changes in structures.