Designing high-rise reinforced concrete (RC) structures with adequate lateral stability is essential, especially in areas prone to earthquakes and strong winds. A G+9 RC framed structure was examined in this research with and without shear walls, utilizing STAAD as a tool for comparison.The PRO CONNECT Version. Model A is a standard reinforced concrete momentresisting frame, while Model B is an improved version of Model A with three shear wall components positioned in the middle to increase lateral stiffness. For Seismic Zone II circumstances, both models were tested under dead load, live load, wind load, and seismic load according to IS 1893 (Part 1):2016. Displacements at nodes, forms deflected, stress distribution on plates, and bending moment behavior of frame elements were used to assess the structural reaction. Through altering the distribution of seismic and wind forces and minimizing horizontal displacements, the comparison study demonstrated that the addition of shear walls substantially increased the building's lateral stiffness. When compared to the bare frame model, the shear wall system lowered the bending moments in the columns by absorbing most of the lateral load. A lack of change in the gravity load response, including vertical displacement and slab stress behavior, suggests that shear walls mainly affected lateral performance and had no negative effect on gravity load behavior. The research shows that medium-rise RC structures with shear walls have better drift control, lower member demands, and better structural performance overall, and that they resist lateral loads efficiently. Buildings vulnerable to seismic and wind forces should use wall-frame dual systems, according to the results.
A UMA DEVI, Dr. B. SHARATH CHANDRA· International Journal of AI...· 0 citations
When civil engineering structures are exposed to unpredictable loading circumstances, structural reliability evaluation is crucial for assuring their safety and performance. When testing how structures react to different random variables, the traditional numerical methods that rely on running finite element simulations again and again are computationally intensive. A framework for dependability analysis of multistorey frame structures exposed to variable lateral and combined loading conditions is proposed in this research, which is based on a mix of artificial intelligence techniques. Using SAP2000, numerical datasets were generated for a two-span, six-story plane frame structure that takes into account lateral stresses, gravity loads, and fluctuations in modulus of elasticity as unknown factors. By combining the results of the structure response data generation process with the optimization algorithms of the Random Forest (RF), Whale (WOA), and Sparrow Search (SSA), a hybrid machine learning model was created. In order to forecast the crucial node's lateral displacement under various loading situations, the models that were constructed were trained and evaluated. Utilizing statistical indicators such as NashSutcliffe efficiency (NS), adjusted R², performance index (PI), variance account factor (VAF), Legate and McCabe index (LMI), Willmott index (WI), root mean square error (RMSE), mean absolute error (MAE), weighted mean absolute percentage error (WMAPE), and scatter index (SI), the suggested models' performance was assessed. In addition, the models' reliability performance was evaluated using the FOSM approach, which measures the reliability index (Η) and the probability of failure (Pf). According to the findings, each of the suggested hybrid models managed to get a remarkable level of prediction accuracy. The RF-WOA model showed better reliability performance and generalizability for structures that were loaded floor-wise laterally. During the testing and training stages, RF-DOA obtained the best prediction accuracy when subjected to a combination of gravity and lateral loads. The results of the reliability study show that hybrid AI models are a good substitute for computationally heavy structural evaluation methods and can accurately forecast the reaction of structures.
ALAGONDA NANDINI, Mrs. M. Swathi, Dr. B. SHARATH CHANDRA· International Journal of Eng...· 0 citations
The large-span constructions, warehouses, and industrial buildings that make use of steel roof trusses do so because of its effective load transfer mechanism and high strength-toweight ratio. Safe and cost-effective designs can only be achieved with precise prediction of structural behavior, including member forces, support responses, and overall structural integrity. The purpose of this research was to use STAAD to model, analyze, and evaluate the performance of a steel roof truss with just one support.Professional Connect Edition. The result is a two-dimensional Pratt truss that uses 45 members and 24 nodes to achieve a span of 15.3 meters and a rise of 1.53 meters. The structure is examined under dead load, live load, and wind uplift scenarios in accordance with the Indian Standard, and all members are first given ISA 20×20×3 equal angle sections. In order to simulate real-world boundary conditions, the numerical model includes a pinned support and a roller support. Load combinations are developed in accordance with the design standards of IS 800:2007, whereas dead load, live load, and wind load scenarios are established according to the guidelines of IS 875. In order to get the nodal displacements, support responses, and member axial forces, linear elastic static analysis is run. Under dead load, the chosen ISA 20×20×3 section deforms excessively, with a maximum vertical displacement of 168.7 mm at the midspan, beyond the acceptable serviceability limit of span/300, according to the findings. Dead load causes the bottom chord's maximum compression force to reach about 60.37 kN, while the combined effects of gravity and other loads bring that force up to roughly 248 kN. Furthermore, the impact of wind uplift is assessed in the research, which leads to a total reversal of the behavior of the member forces when subjected to wind loads alone. According to the results, the original section selection was not feasible and has to be redesigned. For various member groups, we suggest appropriate replacement portions to enhance strength and serviceability performance. Proof that STAAD is effective is provided by the work.For the purpose of computationally analyzing steel truss structures and evaluating structural behavior, we recommend Pro CONNECT Edition.
MALLARAPU SHYLAJA, Mrs. A.V. ANJANI DEVI, Dr. B. SHARATH CHANDRA· International Journal of AI...· 0 citations
Reinforced concrete (RC) frame structures must undergo structural analysis as a first stage in their design to guarantee sufficient strength, stability, and serviceability when subjected to stresses. Engineers may now more efficiently and accurately model and analyze complicated structural systems in three dimensions because to advancements in structural analysis software. This research project details the STAAD-based structural analysis of a G+2 reinforced concrete frame. Professional V8i (SELECTseries 5) in action. Following the applicable Indian Standard standards, a three-dimensional analytical model was created with 87 structural members and 48 joints. The model accounted for the necessary material qualities, sectional dimensions, support conditions, and loads. All loads, whether dead or live, as well as the governing load combination of 1.5(DL + LL), were taken into account throughout the study. Support responses, bending moment, shear force, axial force, and vertical displacement were used to analyze the structural response. Selected STAAD results were used to confirm the computational model's correctness.Simplified manual computations grounded on classical structural analysis techniques were contrasted with Pro. The numerical model was shown reliable when the comparison revealed variances within acceptable engineering norms, with a maximum divergence of around 12%. All structural response characteristics fulfilled the serviceability standards defined in IS 456:2000, according to the study. According to the research, STAAD.Pro is a solid and efficient platform for conducting 3D analyses of reinforced concrete frame structures, which may greatly aid in engineering and structural design decisions.
JAKKANI CHAITHANYA, Mrs. A.V. ANJANI DEVI, Dr. B. SHARATH CHANDRA· International Journal of Eng...· 0 citations
This research examines the reliability of BIM-to-FEM transfer procedures using Autodesk Revit and CSI ETABS by systematically evaluating native API-mediated and IFC-based approaches and offers an integration process based on checkpoints that uses controlled modeling methods, validates models after transfer, and coordinates federated models.
Banothu Sairam Nayak, A. V. Anjani Devi, B. S. Chandra· International Journal of AI...· 0 citations
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