Impact of Shear Wall Placement on Seismic Performance of Vertically Irregular Structures Shrikant M. Harle Jordan Journal of Civil Engineering, 2025 This study investigates the dynamic behavior of buildings under various structural configurations, offering insights into optimizing design for seismic resilience and structural stability. Using the STAAD-PRO software, a comprehensive analysis of 96 distinct building models was conducted to explore load distribution, stress allocation, and overall structural integrity. The research focused on the impact of building height and shear wall placement on critical parameters, such as frequency, period, and story shear. The findings reveal that for buildings measuring 18 meters in height, the highest frequency is achieved when the shear wall is positioned exclusively at the front. Conversely, taller structures, such as those at 45 meters, exhibit prolonged oscillation cycles when shear walls are placed at the front, back, and both sides. Story shear analysis further highlights that the highest values occur with shear walls strategically placed at these same locations. Notably, the 18-meter structure demonstrates the highest sensitivity to lateral forces, with a clear trend of decreasing story shear as building height increases. The study also uncovers a strong correlation between building height and displacement. As height increases, so does structural displacement; however, configurations with shear walls at the front, back, and both sides effectively minimize this movement. In conclusion, this research underscores the complex interplay between shear wall placement, building height, and structural responses. These findings provide valuable guidance for enhancing earthquake resistance, optimizing structural designs, and informing engineering decisions in building design and construction.
A Novel Approach using Machine Learning and NLP for Revolutionizing Pali Manuscript Conservation Sangita R. Gudadhe, Aashish A. Bardekar, Amitkumar B. Ranit 4th International Conference on Sustainable Expert Systems Icses 2024 Proceedings, 2024 The preservation and analysis of ancient Pali manuscripts are crucial for understanding India's cultural heritage. However, the unique shapes of Pali characters present significant challenges for accurate identification and classification. This research proposes a novel system that utilizes machine learning, image processing, and natural language processing (NLP) to convert Pali characters into understandable formats and decipher the Pali Prakrit language. By combining computer science and linguistics, the proposed model aims to effectively extract data from Pali literature. The proposed model was validated using the Government of India dataset, demonstrating improved character recognition accuracy and reduced memory footprint. This research contributes to the preservation of ancient Pali manuscripts and facilitates the study and understanding of this valuable cultural heritage.
Flood Forecasting by Using Machine Learning Amitkumar Baburao Ranit, P. V. Durge Proceedings of the 4th International Conference on Communication and Electronics Systems Icces 2019, 2019
Review of Bayesian Approaches for Structural Integrity Assessment and Damage Identification P Bhadauria, AB Ranit, PS Chaudhary, KA Dongre, SM Harle, AP Bhagat Operations Research Forum 7 (1), 8 , 2026 2026 Citations: 1
Reducing Carbon Footprint in the Construction Industry: Strategies from Design to Operation SM Harle, AB Ranit, S Ambadkar, S Bejalwar Reduction of Industrial Carbon Footprint, 43-91 , 2026 2026
AI-driven sustainable concrete mix design: Hybrid deep Q-Learning and genetic algorithms-based multi-objective machine learning optimizations for high structural strength, low … EESM Amruta A. Yadav a , Sneha G. Hirekhan a , Pranita S. Bhandari b ... Structures 82 , 2025 2025 Citations: 5
Neural networks, cnns, and hybrid models in structural retrofitting: a deep learning perspective PKS Bhadauria, N Zanjad, SG Kalamkar, A Ranit, P Chaudhary Asian Journal of Civil Engineering 26 (11), 4499-4516 , 2025 2025 Citations: 2
Tailoring the pore structure of mesoporous composite agro‑based adsorbents for the enhanced removal of Cu(II) and Ni(II) heavy metal ions from wastewater RM Bhagat, SR Khandeshwar, AB Ranit, MP Bhorkar, BP Nandurkar, ... Clean Technologies and Environmental Policy , 2025 2025 Citations: 2
Innovative approaches to fire-resistant building materials: a review PKS Bhadauria, AB Ranit, PS Chaudhary, KA Dongre, SM Harle, ... Life Cycle Reliability and Safety Engineering, 1-14 , 2025 2025 Citations: 1
Neural networks, CNNs, and hybrid models in structural retrofitting: a deep learning perspective ARPC Pradeep K. S. Bhadauria, Nilesh Zanjad, Sanket Gajanan Kalamkar Asian Journal of Civil Engineering Building and Housing , 2025 2025
Machine learning and optimization in hybrid energy storage systems: Integrating MPC, PSO, MILP, and ANN for grid stability and efficiency JL Rajesh M. Bhagat, Dilendra B. Jasutkar, Amitkumar B. Ranit, Vikrant S ... International Journal of Electrical Power & Energy Systems 170, 1-16 , 2025 2025 Citations: 7
GREEN BUILDING PROJECT MANAGEMENT APPROACH IN CONSTRUCTION PHASES DABR Aachal Bhaurao Kore DASTAVEJ RESEARCH JOURNAL 55 (1), 12-17 , 2025 2025
Impact of Shear Wall Placement on Seismic Performance of Vertically Irregular Structures SGT Shrikant M. Harle, Amitkumar B. Ranit, Pravin Shankarrao Choudhary ... Jordan Journal of Civil Engineering 19 (2), 211-229 , 2025 2025
CLASH DETECTION IN CONSTRUCTION PROJECT BY BIM RRW Mr. Akash Mahendra Ingle, Dr. Amitkumar B. Ranit DASTAVEJ RESEARCH JOURNAL 54 (12) , 2025 2025
A Novel Approach for Translating Kharosthi Script Text Into Pali Language S Gudadhe, A Bardekar, A Ranit 2024 2nd International Conference on Emerging Trends in Engineering and … , 2024 2024
A novel approach using machine learning and NLP for revolutionizing Pali manuscript conservation SR Gudadhe, AA Bardekar, AB Ranit 2024 4th International Conference on Sustainable Expert Systems (ICSES), 844-848 , 2024 2024 Citations: 4
Enhancing Pali Manuscript Interpretation with Artificial Neural Network Techniques S Gudadhe, A Bardekar, A Ranit International Conference on Data Engineering and Communication Technology, 69-82 , 2024 2024
Investigation of Mechanical Behavior of Steel Fiber-Reinforced Geopolymer Concrete Under Multi-Axial Stress Conditions SM Ranit, A.B. , Futane, N.S. , Dhawale, V.R. , Ingalkar, R.S. , Harle Advances in Transdisciplinary Engineering , 2024 2024
NEURAL NETWORK-DRIVEN FORECASTING OF AFTERSHOCK DYNAMICS FOR ENHANCED SEISMIC RESILIENCE IN STRUCTURAL ENGINEERING S. M. Harle,A. B. Ranit, P.S.Chaoudhari ISET Journal of Earthquake Technology 61 (02), 55-71 , 2024 2024
INTEGRATING MACHINE LEARNING AND NLP EFFICIENT RETRIEVAL OF CHARACTERS IN PALI SCRIPT PRESERVATION SR Gudadhe, AA Bardekar, AB Ranit Juni Khyat t (जूनी ख्यात) 14 (01) , 2024 2024 Citations: 2
Investigation of Mechanical Behavior of Steel Fiber-Reinforced Geopolymer Concrete Under Multi-Axial Stress Conditions AB Ranit, NS Futane, VR Dhawale, SM Dhawade, RS Ingalkar, SM Harle Hydraulic and Civil Engineering Technology IX: Proceedings of the 9th … , 2024 2024
AI Development for Translating Indian Historical Devanagari Scripts into the Pali Language : A Technical Approach ABR Sangita R. Gudadhe, Aashish A. Bardekar ALOCHANA JOURNAL 13 (10), 253-256 , 2024 2024
Structural Performance of LGS and Ferrocement Composite Element A Akarte, A Gathe, S Harle, AB Ranit, MV Mohod, SS Nibhorkar Structural Engineering Convention, 523-530 , 2023 2023
MOST CITED SCHOLAR PUBLICATIONS
Identifying factors affecting construction labour productivity in Amravati A Sangole, A Ranit International Journal of Science and Research 4 (5), 1585-1588 , 2015 2015 Citations: 34
Different techniques of flood forecasting and their applications AB Ranit, PV Durge 2018 International Conference on Research in Intelligent and Computing in … , 2018 2018 Citations: 19
Project management using primavera P6 A Mahure, A Ranit Int. J. Eng. Res. Technol 241, 244 , 2018 2018 Citations: 16
Flood forecasting by using machine learning AB Ranit, PV Durge 2019 International Conference on Communication and Electronics Systems … , 2019 2019 Citations: 8
Machine learning and optimization in hybrid energy storage systems: Integrating MPC, PSO, MILP, and ANN for grid stability and efficiency JL Rajesh M. Bhagat, Dilendra B. Jasutkar, Amitkumar B. Ranit, Vikrant S ... International Journal of Electrical Power & Energy Systems 170, 1-16 , 2025 2025 Citations: 7
AI-driven sustainable concrete mix design: Hybrid deep Q-Learning and genetic algorithms-based multi-objective machine learning optimizations for high structural strength, low … EESM Amruta A. Yadav a , Sneha G. Hirekhan a , Pranita S. Bhandari b ... Structures 82 , 2025 2025 Citations: 5
A novel approach using machine learning and NLP for revolutionizing Pali manuscript conservation SR Gudadhe, AA Bardekar, AB Ranit 2024 4th International Conference on Sustainable Expert Systems (ICSES), 844-848 , 2024 2024 Citations: 4
Neural networks, cnns, and hybrid models in structural retrofitting: a deep learning perspective PKS Bhadauria, N Zanjad, SG Kalamkar, A Ranit, P Chaudhary Asian Journal of Civil Engineering 26 (11), 4499-4516 , 2025 2025 Citations: 2
Tailoring the pore structure of mesoporous composite agro‑based adsorbents for the enhanced removal of Cu(II) and Ni(II) heavy metal ions from wastewater RM Bhagat, SR Khandeshwar, AB Ranit, MP Bhorkar, BP Nandurkar, ... Clean Technologies and Environmental Policy , 2025 2025 Citations: 2
INTEGRATING MACHINE LEARNING AND NLP EFFICIENT RETRIEVAL OF CHARACTERS IN PALI SCRIPT PRESERVATION SR Gudadhe, AA Bardekar, AB Ranit Juni Khyat t (जूनी ख्यात) 14 (01) , 2024 2024 Citations: 2
A Review Paper on Construction Waste Management and its Impact on Cost of The Project P Baitule, NS Futane, AB Ranit SSRG International Journal of Civil Engineering 7 (7), 20-22 , 2020 2020 Citations: 2
Review of Bayesian Approaches for Structural Integrity Assessment and Damage Identification P Bhadauria, AB Ranit, PS Chaudhary, KA Dongre, SM Harle, AP Bhagat Operations Research Forum 7 (1), 8 , 2026 2026 Citations: 1
Innovative approaches to fire-resistant building materials: a review PKS Bhadauria, AB Ranit, PS Chaudhary, KA Dongre, SM Harle, ... Life Cycle Reliability and Safety Engineering, 1-14 , 2025 2025 Citations: 1
Techniques of Flood Forecasting and Their Applications PVD Amitkumar Ranit International Conference on Intelligent Data Communication Technologies and … , 2019 2019 Citations: 1
Identifying the Factors which affects the Labour Productivity and Improving the Labour Productivity in Construction Using Statistical Tests R Sibiya International Journal for Modern Trends in Science and Technology 5 (11), 34-39 , 2019 2019 Citations: 1
Evaluation of Quality Management in Irrigation Projects AV Guldekar, AB Ranit International Journal of Science and Research (IJSR) , 2016 2016 Citations: 1
Reducing Carbon Footprint in the Construction Industry: Strategies from Design to Operation SM Harle, AB Ranit, S Ambadkar, S Bejalwar Reduction of Industrial Carbon Footprint, 43-91 , 2026 2026
Neural networks, CNNs, and hybrid models in structural retrofitting: a deep learning perspective ARPC Pradeep K. S. Bhadauria, Nilesh Zanjad, Sanket Gajanan Kalamkar Asian Journal of Civil Engineering Building and Housing , 2025 2025
GREEN BUILDING PROJECT MANAGEMENT APPROACH IN CONSTRUCTION PHASES DABR Aachal Bhaurao Kore DASTAVEJ RESEARCH JOURNAL 55 (1), 12-17 , 2025 2025
Impact of Shear Wall Placement on Seismic Performance of Vertically Irregular Structures SGT Shrikant M. Harle, Amitkumar B. Ranit, Pravin Shankarrao Choudhary ... Jordan Journal of Civil Engineering 19 (2), 211-229 , 2025 2025