Research

Active Funded Research Projects

Bricks

Study and improve fire performance of Polymer-Modified Concrete

PI: Venkatesh Kodur (Michigan State University)
Co-PI: Srishti Banerji

Currently, there is a lack of high temperature material property data, as well as fire resistance information on polymer concrete (PC) structures. Addressing fire resistance issues is critical for the use of PC in new constructions, as well as in repair applications, where structural fire safety is a key design consideration. This proposal aims to develop optimum strategies for enhancing the fire performance of PC structures through detailed experimental and numerical studies.

Bottles

Investigating the performance of concrete incorporating Utah-recycled glass pozzolan

PI: Srishti Banerji

Production of cement for concrete is responsible for 8% of global greenhouse gas emissions, with one ton of carbon dioxide (CO2) being emitted from one ton of cement manufacturing. One way to make concrete production environmentally friendly is to partially replace cement with pozzolanic materials. The objective of this project is to evaluate the performance of concrete containing pozzolan derived from local waste glass as partial cement replacement.

Concrete Cracks#

Developing and characterizing self-healing concrete for bridge decks

PI: Srishti Banerji

Self-healing concrete was originally developed by the ancient Roman Empire; the key to developing Roman concrete is by the direct addition of coarse quicklime pieces along with other conventional ingredients (aggregates, cement, fly ash, water, etc.) in the concrete mixture. Through this mixing technique, the quicklime fragments remain intact in the concrete matrix, serving as an undissolved calcium reserve, to form calcium carbonate (CaCO3) for filling cracks. Utilizing such a self-healing concrete mix for modern infrastructure can increase the durability and service life of bridge decks, resulting in considerable repair and maintenance savings.

evr

Durability and constructability of embedded charging concrete pavements for electrification of roadways

PI: Srishti Banerji
co-PI: Marvin Halling (Utah State University)

Enhancing the constructability and long-term durability of electrified concrete roadways is expected to remove barriers for real-world deployment, thus accelerating the integration of in-road charging infrastructure into various routes. In long-term, completion of this task will reduce the battery size and overall cost of electric vehicles, leading to increased adoption of electric vehicles and positively impacting public health and the environment.

Ultra High Performance Concrete

Development and Characterization of Non-Proprietary Ultra High Performance Concrete (UHPC) Mix with Utah Materials

PI: Srishti Banerji
co-PI: Andrew Sorensen (Texas A&M)

The primary objective of this research project is to develop a performance specification for Ultra High Performance Concrete (UHPC) specific to materials found locally in Utah. The effort will include establishing material requirements, parameters for mix acceptance, field quality control and acceptance testing, equipment needs for batching, placing, and testing, as well as minimum qualifications and training needed for implementation. A secondary objective of this research project is to determine the cost analysis of the non-proprietary, locally sourced UHPC, as compared to commercially available materials.

Funding Sponosrs

UDot
Nex
usu
nsf
Aspire
Michigan state
Mountain-Plains Consortium

Publications

Published in Journal

  1. Esteghamati, M. Z., Gernay, T., & Banerji, S. “Evaluating fire resistance of timber columns using explainable machine learning models.” Engineering Structures, 296, 116910 (2023).
  2. Gil, A., Banerji, S., and Kodur, V. “Factors influencing pore pressure measurements in concrete during heating and its influence on fire-induced spalling.” Cement and Concrete Composites, 142, 105228 (2023).
  3. Kula, B., Mitra, D., Chu, Y., Cetin, K., Gallagher, R., and Banerji, S. “Laboratory testing methods to evaluate the reliability of occupancy sensors for commercial building applications.” Building and Environment, 240, 110457 (2023).
  4. Kodur V.K.R., Banerji S. “Comparative fire behavior of reinforced concrete beams made of different concrete strengths.” Fire Technology (2023).
  5. Banerji S. and Kodur V.K.R. "Numerical model for tracing the response of Ultra‐High performance concrete beams exposed to fire." Fire and Materials, 3099, 1-19 (2022).
  6. Banerji S. and Kodur V.K.R. "Effect of temperature on mechanical properties of ultra‐high performance concrete." Fire and Materials, 2979, 1-15 (2021).
  7. Kodur V.K.R., and Banerji S. “Modeling the fire-induced spalling in concrete structures incorporating hydro-thermo-mechanical stresses”. Cement and Concrete Composites, 117, 103902 (2021).
  8. Banerji S., Kodur V.K.R., and Solhmirzaei R. “Experimental behavior of ultra-high performance fiber reinforced concrete beams under fire conditions.” Engineering Structures, 208, 110316 (2020).
  9. Kodur V.K.R., Banerji S., and Solhmirzaei R. “Effect of temperature on thermal properties of ultra-high performance concrete.” ASCE Journal of Construction Materials in Civil Engineering, 32(8), 04020210 (2020).
  10. Kodur V.K.R., Banerji S., and Solhmirzaei R. “Test methods for characterizing concrete properties at elevated temperatures.” Fire and Materials, 2777, 1-15 (2019).
  11. Roy T. B., Banerji S., Panigrahi S. K., Chourasia. A., Tirca. L., and Bagchi A. “Modal identification and damage detection in structures using non-linear and non-stationary vibration response.” Journal of Structural Engineering, 44(3):220-227 (2017).

Book Chapters

  1. Banerji S. “Using artificial intelligence to derive temperature-dependent mechanical properties of ultra-high performance concrete.” Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure, CRC Press, Taylor and Francis; In press: https://www.routledge.com/Leveraging-Artificial-Intelligence-in-Engineering-Management-and-Safety/Naser/p/book/9780367422103 (2022).
  2. Roy T.B., Banerji S., Panigrahi S.K., Chourasia A., Tirca L., and Bagchi A. “A novel method for vibration based damage detection in structures using marginal Hilbert spectrum.” Recent Advances in Structural Engineering, Volume 1, 1161-1172, Springer, Singapore (2019).

Published in Conference Proceedings

  1. Esteghamati M.Z., Banerji S. “A machine learning-based approach to evaluate the fire resistance of timber columns.” 14th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP14, Dublin, Ireland (2023).
  2. Al Sarfin A.M., Banerji S., Esteghamati M.Z., Sorensen A.D. “Development of UHPC mix design based on specific performance criteria using machine learning techniques.”, Third International Interactive Symposium on UHPC, Wilmington, Delaware, US (2023).
  3. Banerji S., Kodur V.K.R. “Factors governing the flexure response of ultra-high performance concrete beams under fire conditions.” 12th International Conference on Structures in Fire (SiF2022), The Hong Kong Polytechnic University, Hong Kong (2022).
  4. Banerji S., Gil A., and Kodur V.K.R. "Application of structural health monitoring techniques for tracing fire-induced spalling in concrete structures." 11th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-11), Montreal, Canada (2022).
  5. Kodur V.K.R., Banerji S. “Comparative fire behavior of reinforced concrete beams made of different concrete strengths.” 11th International Conference on Structures in Fire (SiF2020), The University of Queensland, Brisbane, Australia (2020).
  6. Banerji S., Kodur V.K.R., and Solhmirzaei R. “Fire response of ultra-high performance concrete (UHPC) beams.” Second International Interactive Symposium on UHPC, Albany, New York, USA (2019).
  7. Solhmirzaei R., Kodur V.K.R., and Banerji S. “Shear behavior of ultra-high performance concrete beams without stirrups.” Second International Interactive Symposium on UHPC, Albany, New York, USA (2019).
  8. Bell J.E., Lister T., Banerji S., and Hinds T.J. “A study of an augmented reality app for the development of spatial reasoning ability.” ASEE 126th Annual Conference and Exposition, Tampa, Florida, USA (2019).
  9. Banerji S., Roy T. B., and Bagchi A. “Experimental validation of a structural damage detection method based on Marginal Hilbert Spectrum.” Proc. SPIE 10170, Health Monitoring of Structural and Biological Systems 2017, Denver, Colorado, USA (2017).
  10. Roy T.B., Banerji S., Panigrahi S.K., Chourasia A., Tirca L., and Bagchi A. “A novel method for vibration based damage detection in structures using marginal Hilbert spectrum.” SEC-825 in Tenth Structural Engineering Convention, CSIR-SERC, Chennai, India (2016). *Best Paper Award*
  11. Banerji S. and Bagchi A. “Energy harvesting methods for wireless sensor networks in structural health monitoring”, CSCE, London, Ontario, Canada (2016).
  12. Khazaeli S., Ghotbi A., Banerji S., and Bagchi A. “The application of data mining and cloud computing in data driven models for structural health monitoring.” Proc. SPIE 9805-96, Smart Structures/NDE 2016, Las Vegas, Nevada, USA (2016).