Blar i NTNU Open på forfatter "Sarwar, Muhammad Zohaib"
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Bridge Displacement Estimation Using a Co-Located Acceleration and Strain
Sarwar, Muhammad Zohaib; Park, Jongwoong (Journal article; Peer reviewed, 2020)Structural displacement is an important metric for assessing structural conditions because it has a direct relationship with the structural stiffness. Many bridge displacement measurement techniques have been developed, ... -
Computationally-Efficient Structural Health Monitoring using Graph Signal Processing
Cheema, Muhammad Asaad; Sarwar, Muhammad Zohaib; Gogineni, Vinay Chakravarthi; Cantero Lauer, Daniel; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2024)Structural health monitoring (SHM) of bridges is crucial for ensuring safety and long-term durability, however, standard damage-detection algorithms are computationally intensive. This article proposes a computationally ... -
Concrete drying model
Sarwar, Muhammad Zohaib; Cantero, Daniel; Hendriks, Max; Geiker, Mette Rica (Research report, 2023) -
Deep autoencoder architecture for bridge damage assessment using responses from several vehicles
Sarwar, Muhammad Zohaib; Cantero, Daniel (Peer reviewed; Journal article, 2021)Vehicle-assisted monitoring is a promising alternative for rapid and low-cost bridge health monitoring compared to direct instrumentation of bridges. In recent years, centralized management systems for fleets of heavy ... -
Instant bridge visual inspection using an unmanned aerial vehicle by image capturing and geo-tagging system and deep convolutional neural network
Saleem, Muhammad Rakeh; Park, Jongwoong; Lee, Jin-Hwan; Jung, Hyung-Jo; Sarwar, Muhammad Zohaib (Peer reviewed; Journal article, 2020)The structural condition of bridges is generally assessed using manual visual inspection. However, this approach consumes labor, time, and capital, and produces subjective results. Therefore, industries today are using ... -
Multimetric Event-driven System for Long-Term Wireless Sensor Operation in SHM Application
Sarwar, Muhammad Zohaib (Journal article; Peer reviewed, 2020)Wireless sensor networks (WSNs) are promising solutions for large infrastructure monitoring because of their ease of installation, computing and communication capability, and cost-effectiveness. Long-term Civil structural ... -
Probabilistic autoencoder-based bridge damage assessment using train-induced responses
Sarwar, Muhammad Zohaib; Cantero, Daniel (Peer reviewed; Journal article, 2024)Structural health monitoring (SHM) systems have been increasingly employed to continually assess the current state of bridges. However, the vast amounts of sensor data generated by SHM systems, along with constantly changing ... -
Vehicle assisted bridge damage assessment using probabilistic deep learning
Sarwar, Muhammad Zohaib; Cantero, Daniel (Peer reviewed; Journal article, 2023)Vehicle assisted monitoring has shown promising potential for the condition assessment of existing bridges in a road network, by removing practical complications faced in traditional Structural health monitoring (SHM) ... -
Vehicle-assisted bridge damage assessment using deep learning
Sarwar, Muhammad Zohaib (Doctoral theses at NTNU;2023:209, Doctoral thesis, 2023)This thesis introduces innovative methodologies for vehicle-assisted bridge health monitoring, aiming to improve maintenance procedures of ageing infrastructure, a critical concern for transport network owners. By taking ...