COMPARATIVE ANALYSIS AND DESIGN OF INTEGRAL BRIDGES: THERMAL EFFECTS, SOIL-STRUCTURE INTERACTION, AND STRUCTURAL PERFORMANCE
EVALUATION OF BAMBOO LEAF ASH AS SUPPLEMENTARY CEMENTITIOUS MATERIAL IN CONCRETE
ASSESSMENT OF METEOROLOGICAL DROUGHTS IN THREE REGIONS OF BENGALURU, KARNATAKA
Experimental Study on Performance of Reinforced Concrete (RC) Beams with Varied Proportions of Fly Ash
Deep Learning - Based Detection of Fine Cracks in High-Resolution Concrete Dam Surfaces
Study on Strength Properties of Lightweight Expanded Clay Aggregate Concrete
A Step By Step Illustrative Procedure to Perform Isogeometric Analysis and Find the Nodal Displacements for a Two Dimensional Plate Structure
Lateral - Torsional Buckling of Various Steel Trusses
Comparative Study on Methodology of Neo-Deterministic Seismic Hazard Analysis Over DSHA and PSHA
A Step by Step Procedure to Perform Isogeometric Analysis of Beam and Bar Problems in Civil Engineering Including Sizing Optimisation of a Beam
Investigation on the Properties of Non Conventional Bricks
Analysis on Strength and Fly Ash Effect of Roller Compacted Concrete Pavement using M-Sand
Investigation on Pozzolanic Effect of Mineral Admixtures in Roller Compacted Concrete Pavement
Effect of Symmetrical Floor Plan Shapes with Re-Entrant Corners on Seismic Behavior of RC Buildings
Effect of Relative Stiffness of Beam and Column on the Shear Lag Phenomenon in Tubular Buildings
Over the past three decades, integral bridges have emerged as a preferred alternative to traditional bridges with expansion joints, particularly for small to medium-span structures. Integral bridges eliminate the need for expansion joints, leading to reduced maintenance and improved long-term performance. This study presents a comprehensive analysis of integral bridges, focusing on the validation of P-Y curves for modeling soil-pile interaction, the impact of thermal loading on pile behavior, and the comparison of structural responses between integral and simply supported bridges. Using a nonlinear analysis tool, SAP2000, the research evaluates key aspects such as pile deflection, bending moments, shear forces, and deck slab stresses under various loading conditions, including IRC Class A and 70R. The results demonstrate that integral bridges exhibit lower deck slab stresses and bending moments compared to simply supported bridges, highlighting their efficiency in specific design scenarios. The study concludes with recommendations for enhancing the design and construction of integral bridges, particularly in the absence of specific code provisions.
Utilizing waste materials possessing pozzolanic properties in concrete production has become a global trend. Evaluating the pozzolanic activity of materials that replace cement is gaining significance due to the growing demand for environmentally sustainable cement products. Incorporating Bamboo Leaf Ash(BLA) as supplementary cementitious material(SCM) in concrete aligns with the principles of sustainable construction by reducing waste, utilizing renewable resources, and potentially lowering carbon emissions associated with traditional cement production. In this research work, BLA is used as partial replacement for ordinary Portland cement(OPC) in ranges of 10%, 20%, 30%. Fresh and hardened properties of concrete were investigated. Experimental results showed that, Concrete mix with BLA gives satisfactory cube compressive strength upto the replacement level of 20% with OPC as binder. Beyond 20% replacement, cube compressive strength falls below the characteristic strength of concrete.
Drought is a common, natural, and recurrent climatic phenomenon that can occur in any climatic region causing water shortage. This can be analysed by applying Standardized Precipitation Index (SPI), departure analysis of annual rainfall from long term average, probability distribution analysis of annual rainfall. The SPI can characterize droughts by the likelihood of occurrence of wet and dry events on seasonal time scales and their severity. Rainfall departure and probability distribution analysis are found to be simple techniques to assess the drought frequency on the regional scale. This paper presented a study on assessment of drought characteristics in Kengeri, Tavarekere and Uttarahalli meteorological regions of Bengaluru. For this purpose, seasonal (viz., pre-monsoon, monsoon and post-monsoon) and annual rainfall series was derived from the daily rainfall data observed at three meteorological stations during the period 1980 to 2022 and used in drought analysis. The SPI analysis indicated that the probability of occurrence of extreme wet years in pre-monsoon and post-monsoon periods of Kengeri are about 13% and 30% respectively whereas these values are computed as about 20% in pre-monsoon and 35% in post-monsoon for Tavarekere. For Uttarahalli, based on SPI values, the probability of occurrence of extreme wet years in pre-monsoon and post-monsoon periods are about 14% and 51% respectively. The annual rainfall departure analysis indicated that the number of severe drought years is two each for Kengeri and Tavarekere whereas the number of severe drought years for Uttarahalli is found as seven. The probability distribution analysis of annual rainfall indicated that the Kengeri, Tavarekere and Uttarahalli are drought-prone regions. The results presented in the paper are the indicators to assess the severity and determine the extent of meteorological drought while planning water resources and drought mitigation in the study area.
This study conducts experiments to assess the behavior of reinforced concrete (RC) beams using varying levels of fly ash (FA). Five beams were fabricated, each measuring 230 mm x 300 mm x 1600 mm. Four of these beams were grade M20 (28 days compressive strength equal to 20 MPa) reinforced concrete, with FA proportions of 0%. 5%, 20%, and 30%, while one beam was grade M25 with 20% FA.The M20 grade beam with 0% fly ash served as the control beam(CB). After a 28-day curing period, these beams were subjected to testing under a three-point bending system. Testing parameters included central displacement, failure load, and observation of failure mode and crack patterns. The performance of each type of reinforced concrete beam was compared to that of the control beams. The results revealed that the beam with 20% FA exhibited a comparable load-displacement behavior as compared to the control one making 20% FA an optimum dose of FA.
An innovative deep learning-based method is introduced for detecting fine cracks in high-resolution images of concrete dam surfaces, addressing the urgent need for efficient and accurate maintenance of these vital infrastructures. Traditional manual inspection methods often fail to detect subtle cracks, leading to potential safety hazards and costly repairs. By leveraging advanced deep learning techniques, this study develops a model that automates the detection process, improving both precision and efficiency. High-resolution images are collected and meticulously annotated to create a robust dataset, which is then used to train a deep learning model tailored for crack identification. The model's performance is evaluated against a separate test dataset, demonstrating significant improvements in detection accuracy. This automated approach not only facilitates timely interventions but also contributes to enhanced monitoring strategies, ultimately ensuring the structural integrity and safety of concrete dams in the long term.
