Yi Bao

Assistant Professor

Stevens Institute of Technology

United States

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Yi Bao is an Assistant Professor at Stevens Institute of Technology, USA. His research areas include eco-friendly concrete, machine learning applications in civil engineering, and the development of advanced materials for construction. His recent articles focus on topics such as chloride migration in concrete, data-driven design of ultra-high-performance concrete, and monitoring techniques for pipeline integrity.

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Stevens Institute of Technology

UNITED STATES

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Yi Bao

Research Interests

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About

Articles (28)

Cradle-to-grave life-cycle assessment of ultra-high-performance concrete (UHPC) beams based on real-time monitoring data

Measuring early-age shrinkage of concrete incorporating shrinkage reducing admixtures using distributed fiber optic sensors

Explainable data-driven formulation of chloride migration coefficient of eco-friendly concrete based on advanced automatic programming

Multi-agent collaboration for knowledge-guided data-driven design of ultra-high-performance concrete (UHPC) incorporating solid wastes

Multifunctional high-performance cement aerogels for CO2 sequestration and thermal insulation

Cyclic behavior of precast fiber‐reinforced concrete columns with recycled concrete powder: An experimental and numerical study

Review on applications of computer vision techniques for pipeline inspection

Explainable machine learning framework for predicting concrete abrasion depth

Machine learning-empowered automatic analysis of distributed fiber optic sensor data for monitoring coincident corrosion and cracks in pipelines

Automated design of architectured polymer-concrete composites with high specific flexural strength and toughness using sequential learning

Knowledge-guided data-driven design of ultra-high-performance geopolymer (UHPG)

Review on material specification, characterization, and quality control of engineered cementitious composite (ECC)

Evaluation of cracking susceptibility of asphalt binders modified with recycled high-density polyethylene and polypropylene microplastics

Knowledge graph-guided data-driven design of ultra-high-performance concrete (UHPC) with interpretability and physicochemical reaction discovery capability

Reducing the cracking potential of ultra-high-performance concrete (UHPC) with the prewet expansive agent

Monitoring restrained shrinkage and cracks of ultra-high-performance concrete (UHPC) using distributed fiber optic sensors

Intelligent characterization of complex cracks in strain-hardening cementitious composites based on generative computer vision

Valorization of Vetiver Root Biochar in Eco-Friendly Reinforced Concrete: Mechanical, Economic, and Environmental Performance

Joint distribution of wind speed and direction over complex terrains based on nonparametric copula models

Metaheuristic inverse analysis on interfacial mechanics of distributed fiber optic sensors undergoing interfacial debonding

Morphological, microstructural, and mechanical properties of highly-ordered C–S–H regulated by cellulose nanocrystals (CNCs)

Numerical study on the effects of stud degradation and stud arrangement on the fatigue performance of steel-UHPC composite decks

Computer Vision-Based Autonomous Method for Quantitative Detection of Loose Bolts in Bolted Connections of Steel Structures

Assessment of fracture process of engineered cementitious composite (ECC) by time-frequency analysis of acoustic emission signals

Experimental study on combined effect of mechanical loads and corrosion using tube-packaged long-gauge fiber Bragg grating sensors

Prediction of FRP-concrete interfacial bond strength based on machine learning

Vibration energy transmission in high-speed train-track-bridge coupled systems

Experimental investigation of headed studs in steel-ultra-high performance concrete (UHPC) composite sections

Collaborators (5)

Dibyendu Sarkar

Min-Wook Kang

Shenghua Wu

Hammad Ahmed Shah

Sarah Goodman

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