Optimal sensor placement methodology of triaxial accelerometers using combined metaheuristic algorithms for structural health monitoring applications
Author:
Publisher
Elsevier BV
Subject
Safety, Risk, Reliability and Quality,Building and Construction,Architecture,Civil and Structural Engineering
Reference46 articles.
1. Digital twin application in the construction industry: A literature review;Opoku;J Build Eng,2021
2. Impacts of design deficiencies on maintenance cost of high-rise residential buildings and mitigation measures;Islam;J Build Eng,2021
3. Digital construction: From point solutions to IoT ecosystem;Woodhead;Autom Constr,2018
4. Structural digital twin framework: Formulation and technology integration;Chiachío;Autom Constr,2022
5. Optimization of bridge maintenance strategies based on structural health monitoring information;Orcesi;Struct Saf,2011
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