Satish Nagarajaiah

About

Satish Nagarajaiah is a full professor of Civil and Environmental Engineering and Mechanical Engineering at Rice University, holding a joint appointment and also affiliated with the Material Science and Nano-Engineering Department. He has been a tenured professor since 2006 and obtained his Ph.D. from the State University of New York at Buffalo, where he also conducted post-doctoral research before beginning his academic career in 1993. His research focuses on structural dynamic systems, earthquake engineering, seismic isolation, structural control and monitoring, adaptive stiffness systems, smart tuned mass dampers, sparse structural system identification, low rank methods, and non-contact laser-based strain sensing using nanomaterials. Professor Nagarajaiah serves as an editor for the Structural Control Health Monitoring Journal and Structural Monitoring and Maintenance Journal, and has previously served as managing editor of the ASCE Journal of Structural Engineering. He is a fellow of the American Society of Civil Engineers (ASCE), the National Academy of Inventors (NAI), and an inaugural fellow of the Structural Engineering Institute (SEI) of ASCE. His professional service includes roles on the ASCE SEI Board of Governors, the Technical Activities Division Executive Committee, and leadership positions such as president of the U.S. panel on structural control & monitoring and founding chair of the ASCE-Engineering Mechanics Institute (EMI) structural health monitoring…

Research topics

• Structural engineering
• Computer Science
• Computer Security
• Artificial Intelligence
• Engineering
• Physics
• Data science
• Mathematics
• Mechanical engineering

Selected publications

• Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection

  Journal of Structural Engineering · 2020 · 701 citations

  Senior authorCorresponding

  Structural health monitoring (SHM) techniques have been widely used in long-span bridges. However, due to limitations of computational ability and data analysis methods, the knowledge in massive SHM data is not well interpreted. Big data (BD) and artificial intelligence (AI) techniques are seen as promising ways to address the data interpretation problem. This paper aims to clarify the scope of BD and AI techniques on what and how regarding bridge SHM. The BD and AI techniques are summarized, an…

  DOI

• Seismic performance improvement of base-isolated structures using a semi-active tuned mass damper

  Engineering Structures · 2022 · 167 citations

  DOI

• Dynamic Test of Negative Stiffness Damped Outrigger With Damping Amplification

  Earthquake Engineering & Structural Dynamics · 2025-01-08 · 30 citations

  articleOpen accessCorresponding

  ABSTRACT This paper proposed a novel negative stiffness damped outrigger with damping amplification (NSDO‐DA) through a smart combination of an L‐shape lever, a precompressed disc spring brace (DSB), and a viscous damper. A theoretical model of the NSDO‐DA considering nonlinear adaptive negative stiffness, damping amplification of nonlinear viscous dampers, and frictions were established. Cyclic tests of disc spring pairs and DSB were presented to verify the feasibility of using DSB as the preco…

  PublisherDOI

• A Review: Non-Contact and Full-Field Strain Mapping Methods for Experimental Mechanics and Structural Health Monitoring

  Sensors · 2024-10-12 · 18 citations

  reviewOpen accessSenior authorCorresponding

  Non-contact and full-field strain mapping captures strain across an entire surface, providing a complete two-dimensional (2D) strain distribution without attachment to sensors. It is an essential technique with wide-ranging applications across various industries, significantly contributing to experimental mechanics and structural health monitoring. Although there have been reviews that focus on specific methods, such as interferometric techniques or carbon nanotube-based strain sensors, a compre…

  PublisherDOI

• Closed‐form optimal solution of two‐degree‐of‐freedom system with Inerter based on equal modal damping with potential application in non‐structural elevator for seismic control

  Earthquake Engineering & Structural Dynamics · 2024-09-26 · 17 citations

  articleOpen accessCorresponding

  Abstract Targeting the great demand for adding non‐structural elevators to old residential buildings, this article proposes an updated configuration of tuned mass damper inerter (U‐TMDI) applied in external non‐structural elevators. An analog 2‐DOF system is established to describe the residential building controlled by an inerter elevator. Then, three closed‐form optimal solutions for designing the U‐TMDI are derived via the fixed‐point method, equal modal damping criterion, and the infinity da…

  PublisherOA PDFDOI

Recent grants

• NEESR-SG: Development of Next Generation Adaptive Seismic Protection Systems

  NSF · $1.6M · 2008–2013

Frequent coauthors

• Sriram Narasimhan

  48 shared

• A. M. Reinhorn

  University at Buffalo, State University of New York

  41 shared

• Meng Wang

  Kyoto Architecture University

  34 shared

• Yongchao Yang

  30 shared

• D. T. R. Pasala

  25 shared

• Michael C. Constantinou

  University at Buffalo, State University of New York

  24 shared

• R. Bruce Weisman

  Rice University

  23 shared

• Sergei M. Bachilo

  23 shared

Education

• Ph.D., Structural Engineering

  University at Buffalo, SUNY

  1990

• M. S. in Structural Engineering, Civil Engineering

  Indian Institute of Science Bangalore

  1982

• B.S. in Structural Engineering, Civil Engineering

  Bangalore University

  1980

Awards & honors

• Fellow of the American Society of Civil Engineers (ASCE)
• Fellow of the National Academy of Inventors (NAI)
• Inaugural Fellow of Structural Engineering Institute (SEI) o…
• NSF CAREER Award

Similar researchers at Rice University

• Qilin Lih-67
• Reginald DesRochesh-65
• Pol D. Spanosh-53