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Journal of Structural Engineering and Management Cover

Journal of Structural Engineering and Management

E-ISSN: 2393-8773 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Journal of Structural Engineering and Management Journal of Structural Engineering and Management [2393-8773(e)] is a peer-reviewed hybrid open-access journal launched in 2014 that covers all aspects of structural Engineering and Management. The goal of this Journal is to provide a platform for scientists, academicians, and Engineers to discuss new developments in the area of Structural engineering. 

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Journal Information

Title: Journal of Structural Engineering and Management
Abbreviation: josem
Issues Per Year: 3 Issues
E-ISSN: 2393-8773
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/JOSEM
Starting Year: 2014
Subject: Structural Engineering and Management
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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josem maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Mrudula Sanjay Kulkarni, Professor

MIT World Peace University, Maharashtra, India,

Email :

Latest Articles

Ahead of Print

Structural Load Evaluation of a Low-Rise Residential Building (G+4) Using STAAD.Pro: A Review

The structural analysis and design of multi-story residential buildings have become more complex
because cities continue to grow while safety requirements become more demanding and building codes
establish stricter requirements. The traditional methods of structural analysis worked through manual
execution which required extended periods to complete and suffered from computational errors that
primarily affected indeterminate structures and lateral loading conditions.

Bending moment, etc., g+4 building, RCC frame, seismic load, STAAD.Pro, structural analysis, wind load

Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation

Artificial Intelligence refers to the capacity of a machine or a computer to ‘think’ or reason in the
way a human would, utilizing experience, learned facts, and flexible rules to solve problems which
may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in
various sectors, such as the IT industry, media, healthcare and medicine, logistics, environmental
sustainability, finance, Business and even judicial systems.

Algorithm, artificial intelligence, crack detection, deep learning, machine learning, structural health monitoring.

Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review

Construction and demolition waste, especially ceramic and concrete debris, is a byproduct that has
been increasingly amassed over time and causes environmental pollutants. Valorising these wastes as
raw materials to produce sustainable construction materials represents an alternative option to
minimise waste, conserve resources and reduce CO2 emissions.

Ceramic waste, circular economy, durability, recycled concrete aggregate, sustainable construction.

Effect of Span, Load Intensity, and Beam Geometry on Stress and Deflection Behavior of RCC Beams

This study investigates the influence of variations in beam geometry, span, load intensity, and
permissible stresses on the structural behavior of reinforced concrete beams. Using classical bending
and shear stress formulations, the effects of a 20% increase in key parameters were analytically
evaluated. Results indicate that a 20% increase in beam span leads to a proportional 20% increase in
beam depth, whereas a 20% increase in beam width or permissible compressive stress in bending
results in an 8.68% reduction in beam depth.

Beam geometry, deflection analysis, flexural stress, load intensity, permissible stress, RCC design, reinforced concrete beam, shear stress, span variation, tensile stress.

Comparative Performance Study of Concrete Incorporating Ceramic and Recycled Concrete Waste: Strength, Durability, and Sustainability

Construction and demolition waste, especially ceramic and concrete debris, is a byproduct that has
been increasingly amassed over time and causes environmental pollutants. Valorising these wastes as
raw materials to produce sustainable construction materials represents an alternative option to
minimise waste, conserve resources and reduce CO2 emissions.

Ceramic waste, circular economy, durability, recycled concrete aggregate, sustainable construction.

Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review

Structural Health Monitoring (SHM) has a critical role to ensure civil infrastructure safety, reliability,

Structural Health Monitoring, Artificial Neural Networks, Damage Detection.