Chenglin Wu

Assistant Professor STRUCTURAL ENGINEERING

Ph.D., engineering mechanics, University of Texas at Austin

Ph.D., civil engineering, Missouri University of Science and Technology

Scholarly Focus, Teaching or Research Areas

Nano-mechanics, nanomaterials, nanomanufacturing, machine learning assisted material design and characterization, 3D printing of infrastructure materials, sensing and multifunctional materials

Honors or Awards

• NSF CAREER Award on Chemo-Mechanics of 2D Transition Metal Materials, 2021

• Joseph H. Senne Jr. Academy of Civil Engineers Faculty Scholarly Achievement Award, 2021

• Missouri S&T Faculty Research Award, 2021

• Missouri S&T Dean’s Scholar Award, 2021

• SES Best Paper Award on MXene-Graphene Influenza and SARS-Cov-2 Sensor, 2021

Selected Academic Activities or Research Projects

• Office of Naval Research (ONR), Data-Driven Approach toward Ultra-High Temperature Tough Ceramics by way of Heterogeneity at Multiple Length Scales, 2023-25

• NIH, MBARC: Flexible Virus Sensor for Detecting Infectious Respiratory Diseases Including COVID-19 and Flu, 2022-23

• National Science Foundation, CMMI: Collaborative Research: NRI: Smart Skins for Robotic Prosthetic Hand, 2022-2025

Selected Publications and Presentations

Wei, C., Zhang J., Liechti, K.M., Wu, C., “Data-Driven Modeling of Interfacial Traction Separation Relations using Thermodynamically Consistent Neural Network,” Computer Methods in Applied Mechanics and Engineering, Vol.404, 2023, 115826, https://doi.org/10.1016/j.cma. 2022.115826.

Li, J., Cheng, F., Lin, G., Wu, C., “Improved Hybrid Method for the Generation of Ground Motions Compatible with the Multi-Damping Design Spectra,” Journal of Earthquake Engineering, 2022, https://doi.org/10.1080/13632469. 2022.2095059

Wei, C., Zhang J., Liechti, K.M., Wu, C., “Deep-Green Inversion to Extract Traction-Separation Relations at Material Interfaces,” International Journal of Solids and Structures, Vol. 2022, 111698, https://doi.org/10.1016/j.ijsolstr.2022. 111698