- Structural Health Monitoring Techniques
- Probabilistic and Robust Engineering Design
- Ultrasonics and Acoustic Wave Propagation
- Wind and Air Flow Studies
- Non-Destructive Testing Techniques
- Advanced Multi-Objective Optimization Algorithms
- Topology Optimization in Engineering
- Pesticide Residue Analysis and Safety
- Pesticide and Herbicide Environmental Studies
- Concrete and Cement Materials Research
- Innovative concrete reinforcement materials
- Acoustic Wave Phenomena Research
- Seismic Performance and Analysis
- Pesticide Exposure and Toxicity
- Video Analysis and Summarization
- Aeroelasticity and Vibration Control
- Infrastructure Maintenance and Monitoring
- Web Data Mining and Analysis
- Analytical Methods in Pharmaceuticals
- Structural Engineering and Vibration Analysis
- Stability and Control of Uncertain Systems
- Material Properties and Processing
- Geophysical Methods and Applications
- Vibration Control and Rheological Fluids
- Model Reduction and Neural Networks
Cardiff University
2017-2025
Physical Sciences (United States)
2025
Motilal Nehru National Institute of Technology
2023
Visva-Bharati University
2023
Bidhan Chandra Krishi Viswavidyalaya
2016-2021
Indian Statistical Institute
2021
University College Lahore
2020
Samsung (India)
2017
Indian Institute of Science Bangalore
2016-2017
Robert Bosch (India)
2017
This review comprehensively summarizes visible light-induced difunctionalization strategies for alkene and alkyne systems in metal-free conditions with literature coverage up to July 2023.
This paper presents a new structural health monitoring strategy based on deep learning architecture that uses nonlinear ultrasonic signals for the automatic assessment of breathing-like debonds in lightweight stiffened composite panels (SCPs). Towards this, finite element simulations guided wave (GW) response SCPs and laboratory-based experiments have been undertaken multiple with without baseplate-stiffener using fixed network piezoelectric transducers (actuators/sensors). GW time domain...
Evaluation of the elastic properties self-compacting fibre-reinforced concrete is one primary concerns in civil and structural engineering. This paper investigates with varying coarse aggregate steel fibre content. Traditionally, are measured experimentally which incurs significant cost time overhead. In this paper, a two-step homogenisation approach proposed for predicting concrete. first step, mortar, air voids aggregates homogenised based on mean-field using Mori-Tanaka model. X-ray...
In this note we present connections between two celebrated tools for the design of stabilising switching laws continuous-time and discrete-time switched linear systems, namely Lyapunov-Metzler inequalities S-procedure.
The time-domain response of a randomly parameterized structural dynamic system is investigated with polynomial chaos expansion approach and stochastic Krylov subspace projection, which has been proposed here. latter uses time-adaptive spectral functions as weighting the deterministic orthogonal basis onto solution projected. are rational input random variables depend on properties unperturbed system. can be accurately resolved even when using low-order functions, computationally...
The aim of the present study was development and subsequent validation a simple, precise stability-indicating reversed phase HPLC method for simultaneous determination guaifenesin, terbutaline sulphate bromhexine hydrochloride in presence their potential impurities single run. photolytic as well hydrolytic were detected 3,5-dihydroxybenzoic acid, 3,5-dihydroxybenzaldehyde, 1-(3,5-dihydroxyphenyl)-2-[(1,1-dimethylethyl) amino]-ethanone from terbutaline, 2-methoxyphenol an unknown impurity...
SUMMARY The problem of representing random fields describing the material and boundary properties physical system at discrete points spatial domain is studied in context linear stochastic finite element method. A randomly parameterized diffusion with a set independent identically distributed variables considered. discretized parametric are interpolated within each multidimensional Lagrange polynomials integrated into weak formulation. proposed random‐field representation has been utilized to...
Abstract In the drive towards net zero aerospace industry is motivated to develop more efficient aerostructures that can accommodate next generation of propulsion systems fall outside well understood types are currently in use. The lack established standards for such designs means engineers faced with an increased level uncertainty their design choices before any prototypes built. Machine learning models becoming a popular tool expediting development novel due ability explore and predict...
Abstract The increased focus on predictive maintenance of safety-critical engineering structures requires an onboard structural health monitoring system, which is reliable and robust to provide accurate predictions metrics while also being efficient streamlined facilitate autonomous data processing real-time decision-making capabilities. An system with the capability continuously monitor interrogate a structure, describe its current state, assess operational risks degraded structure needs be...
Smart foams combine the complimentary advantages of passive foam material and spatially distributed piezoelectric actuator embedded in it for active noise control applications. In this paper, problem improving transmission loss smart using strategies has been investigated both numerically experimentally inside a waveguide under condition plane wave propagation. The finite element simulation coupled system undertaken with three different designs their effectiveness canceling transmitted...
Smart foam offers a lightweight, efficient noise control solution by combining the complimentary advantages of passive dissipation in material with actuation authority active piezoelectric component, under appropriate input. This study aims to implement sensoriactuator operation component obtain an alternate error signal from its mechanical strain response. can potentially replace use far-field microphone sensors applications, and hence improve compactness system. The has been implemented...
Acoustic emission based damage detection in composite structures is on of ultra high frequency packets acoustic waves emitted from sources (such as fibre breakage, fatigue fracture, amongst others) with a network distributed sensors. This non-destructive monitoring scheme requires solving an inverse problem where the measured signals are linked back to location source. turn enables rapid deployment mitigative measures. The presence significant amount uncertainty associated operating...
This paper presents a nondestructive analysis of debonds in an adhesively-bonded carbon-fibre reinforced composite structure under variable temperature conditions. Towards this, ultrasonic guided wave propagation based experimental and numerical simulations are carried out for sample to investigate the characteristics detect operating The revealed that presence significantly reduces mode amplitudes, this effect further increases with increase ambient debond size. Based on induced...