ACEE International Journal on Civil and Environmental Engineering
|Journal Papers (4)||Details||Call for Paper||Manuscript submission||Publication Ethics||Contact||Authors' Guide Line|
|1 Strength Prediction Model for Concrete, Ahsanul Kabir,Monjurul Hasan, and Md. Khasro Miah
There are many parameters of concrete that influence its strength gaining characteristics. This study is an attempt to use the early compressive strength test result to estimate compressive strength at different ages. Potential utilization of the early day compressive strength result to predict characteristic strength of normal weight concrete has been investigated. A simple mathematical model capable of predicting the compressive strength of concrete at any age is proposed for both stone and local aggregate concrete. The basic model consists of a rational polynomial equation having only two coefficients. This study also proposes a simple reliable relationship between the coefficient p (strength at infinite time) with the strength values of concrete of a particular day. This relation greatly simplifies the concrete strength prediction model. The developed model is validated for commonly used stone aggregate concrete and also for local (brick) aggregate concrete. Data used in this study are collected from some previous studies and recent experimental works. The analysis carried with the model using different data exhibit reliable prediction of concrete strength at different ages (7, 14, 28 days etc.) with excellent efficiency.
|2 Estimation of IRI from PCI in Construction Work Zones, R.Vidya, Dr. S. Moses Santhakumar, Dr.Samson Mathew
Roughness is good evaluator of performance of road. This paper presents a case study of IRI (International Roughness Index) estimation at NH 67 during four laning of Trichy - Tanjavur section. An attempt has been made to evaluate the IRI of construction work zones using Levenberg- Marquardt back-propagation training algorithm. A MATLAB based model is developed, and the data from the case study are used to train and test the developed model to predict IRI. The models’ performances are evaluated through Correlation coefficient (R2) and Mean Square Error (MSE).
|3 Urban Air Quality Modelling and Simulation: A Case Study of Kolhapur (M.S.), India, Yogesh Sathe, Atul Ayare, and Girish Kulkarni
As a consequence of urbanization a phenomenal surge has been observed in the vehicular population in India, giving rise to elevated levels of traffic related pollutants like carbon monoxide, nitrogen oxides, hydrocarbons, and particulates in Indian urban centers. These pollutants can have both acute and chronic effects on human health. Thus air quality management needs immediate attention. Air quality models simulate the physical and chemical processes occurring in the atmosphere to estimate the atmospheric pollutant concentration. A variety of air quality models are available ranging from simple empirical models to complex Computational Fluid Dynamic (CFD) models. Air quality models can be a valuable tool in pollution forecasting, air quality management, traffic management and urban planning. This paper evaluates the performance of widely used Danish Operational Street Pollution Model (OSPM) under Indian traffic conditions. Comparison between predicted and observed concentrations was performed using both quantitative and statistical methods. OSPM was found to perform exceedingly well for the prediction of particulates whereas NO2 predictions were poorly predicted.
|4 Seismic Vulnerability Assessment of Steel Moment Resisting Frame due to Infill Masonry Walls, Variation in Column Size and Horizontal Buckling Restrained Braces, MagarPatilH.R, Jangid R.S
Steel moment resisting frame with open first storey (soft storey) is known to perform well compared with the RC frames during strong earthquake shaking. The presence of masonry infill wall influences the overall behavior of the structure when subjected to lateral forces, when masonry infill are considered to interact with their surrounding frames the lateral stiffness and lateral load carrying capacity of structure largely increase. In this paper, the seismic vulnerability of building with soft storey is shown with an example of G+10 three dimensional (3D) steel frame. The open first storey is an important functional requirement of almost all the urban multi-storey buildings, and hence, cannot be eliminated. Hence some special measures need to be adopted for this specific situation. The under-lying principle of any solution to this problem is in increasing the stiffness’s of the first storey such that the first storey stiffness is at least 50% as stiff as the second storey, i.e., soft first storeys are to be avoided, and providing adequate lateral strength in the first storey. In this paper, stiffness balancing is proposed between the first and second storey of a steel moment resisting frame building with open first storey and brick infills as described in models. A simple example building is analyzed by modeling it with nine different methods. The stiffness effect on the first storey is demonstrated through the lateral displacement profile of the building.