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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Koh, Yongsung / Ceylan, Halil / Kim, Sunghwan / Cho, In Ho (2024): An artificial-intelligence based approach for predicting structural damages of paved-road systems under superloads. In: Construction and Building Materials, v. 411 (January 2024).

    https://doi.org/10.1016/j.conbuildmat.2023.134257

  2. Cho, In Ho / Porter, Keith (2016): Modeling Building Classes Using Moment Matching. In: Earthquake Spectra, v. 32, n. 1 (February 2016).

    https://doi.org/10.1193/071712eqs239m

  3. Cho, In Ho / Porter, Keith (2015): Three-Stage Multiscale Nonlinear Dynamic Analysis Platform for Building-Level Loss Estimation. In: Earthquake Spectra, v. 31, n. 2 (May 2015).

    https://doi.org/10.1193/092712eqs293m

  4. Bazroun, Mohammed / Yang, Yicheng / Cho, In Ho (2022): Flexible and interpretable generalization of self-evolving computational materials framework. In: Computers & Structures, v. 260 (February 2022).

    https://doi.org/10.1016/j.compstruc.2021.106706

  5. Tong, Tong / Bazroun, Mohammed / Cho, In Ho / Porter, Keith A. (2021): Multiscale Investigations of RC Shear Wall Buildings. In: Journal of Earthquake Engineering, v. 26, n. 10 (July 2021).

    https://doi.org/10.1080/13632469.2020.1859002

  6. Sargam, Yogiraj / Wang, Kejin / Cho, In Ho (2021): Machine learning based prediction model for thermal conductivity of concrete. In: Journal of Building Engineering, v. 34 (February 2021).

    https://doi.org/10.1016/j.jobe.2020.101956

  7. Jahani, Elham / Cetin, Kristen / Cho, In Ho (2020): City-scale single family residential building energy consumption prediction using genetic algorithm-based Numerical Moment Matching technique. In: Building and Environment, v. 172 (April 2020).

    https://doi.org/10.1016/j.buildenv.2020.106667

  8. Cho, In Ho (2018): Deformation Gradient-Based Remedy for Mesh Objective Three-Dimensional Interlocking Mechanism. In: Journal of Engineering Mechanics (ASCE), v. 144, n. 1 (January 2018).

    https://doi.org/10.1061/(asce)em.1943-7889.0001369

  9. Cho, In Ho / Hall, John F. (2014): General Confinement Model Based on Nonlocal Information. In: Journal of Engineering Mechanics (ASCE), v. 140, n. 6 (June 2014).

    https://doi.org/10.1061/(asce)em.1943-7889.0000724

  10. Song, Ikkyun / Cho, In Ho / Wong, Raymond K. W. (2018): An Advanced Statistical Approach to Data-Driven Earthquake Engineering. In: Journal of Earthquake Engineering, v. 24, n. 8 (May 2018).

    https://doi.org/10.1080/13632469.2018.1461713

  11. Cho, In Ho / Song, Ikkyun / Teng, Ya Lu (2018): Numerical moment matching stabilized by a genetic algorithm for engineering data squashing and fast uncertainty quantification. In: Computers & Structures, v. 204 (15 July 2018).

    https://doi.org/10.1016/j.compstruc.2018.04.002

  12. Cho, In Ho / Hall, John F. (2012): Parallelized Implicit Nonlinear FEA Program for Real Scale RC Structures under Cyclic Loading. In: Journal of Computing in Civil Engineering, v. 26, n. 3 (May 2012).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000138

  13. Cho, In Ho / Porter, Keith A. (2014): Structure-Independent Parallel Platform for Nonlinear Analyses of General Real-Scale RC Structures under Cyclic Loading. In: Journal of Structural Engineering (ASCE), v. 140, n. 8 (August 2014).

    https://doi.org/10.1061/(asce)st.1943-541x.0000871

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