Estimating Mean and Variance of In-Plane Resistance of Masonry Walls Using Inaccurate Design-Code Models and Limited High-Fidelity Data
Author:
Affiliation:
1. Univ. of Alberta
Publisher
American Society of Civil Engineers (ASCE)
Link
https://ascelibrary.org/doi/pdf/10.1061/JSENDH.STENG-13920
Reference65 articles.
1. Prediction of the shear strength of reinforced masonry walls using a large experimental database and artificial neural networks
2. Applied Technology Council. 1997. NEHRP guidelines for the seismic rehabilitation of buildings. FEMA 273. Washington DC: FEMA.
3. ASCE. 2017. Seismic evaluation and retrofit of existing buildings. ASCE 41-17. Reston VA: ASCE.
4. On the compressive strength prediction for concrete masonry prisms
5. Detailed micro-modeling approach and solution strategy for laterally loaded reinforced masonry shear walls
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