Early-Stage Advisory System for Energy-Conscious Design of Building Façade Systems

Author:

Abediniangerabi B.12,Shahandashti M.12

Affiliation:

1. Dept. of Engineering and Technology, Texas A&M Univ.–Commerce, Commerce, TX.

2. Dept. of Civil Engineering, Univ. of Texas at Arlington, Arlington, TX.

Publisher

American Society of Civil Engineers

Reference21 articles.

1. Deep Learning for Estimating Energy Savings of Early-Stage Facade Design Decisions;Abediniangerabi B.;Energy and AI,2021

2. A data-driven framework for energy-conscious design of building facade systems;Abediniangerabi B.;Journal of Building Engineering,2020

3. Coupled transient heat and moisture transfer investigation of facade panel connections;Abediniangerabi B.;Journal of Engineering, Design and Technology,2020

4. Building energy performance analysis of ultra-high-performance fiber-reinforced concrete (UHP-FRC) façade systems;Abediniangerabi B.;Energy and Buildings,2018

5. Abediniangerabi, B., Shahandashti, S. M., Bell, B., Chao, S. H., and Makhmalbaf, A. (2019, June). Assembly-scale and whole-building energy performance analysis of ultra-high-performance fiber-reinforced concrete (UHP-FRC) facade systems. In International Interactive Symposium on Ultra-High Performance Concrete (Vol. 2, No. 1). Iowa State University Digital Press.

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