Professional Background

• Scientist, CSIR – Structural Engineering Research Centre Chennai, April 2016 – till date
• Senior Project Fellow, CSIR – Structural Engineering Research Centre Chennai, September 2014 – March 2016
• Quick Hire Scientist (Trainee), CSIR – Structural Engineering Research Centre Chennai, August 2011 – August 2014

Areas of Scientific Interest

• Mesoscale characterization of mechanical properties of cement composites
• Evaluation of hydration and strength gain mechanism
• High strength and high ductile concrete

Awards & Honours

• Received Gold Medal for securing First rank in B.E Civil Engineering, 2010
• Topped High school by scoring 92.25%, 2006
• District third rank holder in X Matriculation Examination by scoring 94%, 2004

Publications

SCI  Journals

• Thirumalaiselvi, A., & Sasmal, S. (2020). Pattern recognition enabled acoustic emission signatures for crack characterization during damage progression in large concrete structures. Applied Acoustics, 175, 107797.
• Thirumalaiselvi, A., Sindu, B. S., & Sasmal, S. (2020). Crack propagation studies in strain hardened concrete using acoustic emission and digital image correlation investigations. European Journal of Environmental and Civil Engineering, 1-28.
• Thirumalaiselvi, A., & Sasmal, S. (2020). Electro-mechanical impedance based strength monitoring technique for hydrating blended cements. Smart Structures and Systems, 25(6), 751-764.
• Prem, P. R., Thirumalaiselvi, A., & Verma, M. (2019). Applied linear and nonlinear statistical models for evaluating strength of Geopolymer concrete. Computers and Concrete, 24(1), 7-17.
• Thirumalaiselvi, A., Anandavalli, N., & Rajasankar, J. (2019). Mesoscale studies on the effect of aggregate shape idealisation in concrete. Magazine of Concrete Research, 71(5), 244-259.
• Thirumalaiselvi, A., & Sasmal, S. (2019). Acoustic emission monitoring and classification of signals in cement composites during early-age hydration. Construction and Building Materials, 196, 411-427.
• Thirumalaiselvi, A., Verma, M., Anandavalli, N., & Rajasankar, J. (2018). Response prediction of laced steel-concrete composite beams using machine learning algorithms. Structural Engineering and Mechanics, 66(3), 399-409.
• Verma, M., Thirumalaiselvi, A., & Rajasankar, J. (2017). Kernel-based models for prediction of cement compressive strength. Neural Computing and Applications, 28(1), 1083-1100.
• Thirumalaiselvi, A., Anandavalli, N., & Rajasankar, J. (2017). Mechanics based analytical approaches to predict nonlinear behaviour of LSCC beams. Struct Eng Mech, 64, 311-321.
• Thirumalaiselvi, A., Anandavalli, N., Rajasankar, J., & Iyer, N. R. (2016). Numerical evaluation of deformation capacity of laced steel-concrete composite beams under monotonic loading. Steel Compos Struct, 20(1), 167-184.

Reputed non-SCI  Journals

• Thirumalaiselvi, A., Anandavalli, N.,  Rajasankar, J., & Iyer, N. R. (2015). Blast response studies on Laced  Steel-Concrete Composite (LSCC)  slabs . In Advances in Structural Engineering , 331-342. Springer India.
• Thirumalaiselvi, A., Anandavalli, N.,  Rajasankar, J., & Iyer, N. R. (2015). Simplified approach to evaluate displacement of laced steel-concrete composite beams for blast loads. Journal of Structural Engineering (JoSE), CSIR – SERC, 42(1), 49-56.

Patents / Copyrights