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Experimental and numerical studies of precast connection under progressive collapse scenario

  • Joshi, Digesh D.;Patel, Paresh V.;Rangwala, Husain M.;Patoliya, Bhautik G.
    • Advances in concrete construction
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    • v.9 no.3
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    • pp.235-248
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    • 2020
  • Progressive collapse in a structure occurs when load bearing members are failed and the adjoining structural elements cannot resist the redistributed forces and fails subsequently, that leads to complete collapse of structure. Recently, construction using precast concrete technology is adopted increasingly because it offers many advantages like faster construction, less requirement of skilled labours at site, reduced formwork and scaffolding, massive production with reduced amount of construction waste, better quality and better surface finishing as compared to conventional reinforced concrete construction. Connections are the critical elements for any precast structure, because in past, major collapse of precast structure took place because of connection failure. In this study, behavior of four different precast wet connections with U shaped reinforcement bars provided at different locations is evaluated. Reduced 1/3rd scale precast beam column assemblies having two span beam and three columns with removed middle column are constructed and examined by performing experiments. The response of precast connections is compared with monolithic connection, under column removal scenario. The connection region of test specimens are filled by cast-in-place micro concrete with and without polypropylene fibers. Performance of specimen is evaluated on the basis of ultimate load carrying capacity, maximum deflection at the location of removed middle column, crack formation and failure propagation. Further, Finite element (FE) analysis is carried out for validation of experimental studies and understanding the performance of structural components. Monolithic and precast beam column assemblies are modeled using non-linear Finite Element (FE) analysis based software ABAQUS. Actual experimental conditions are simulated using appropriate boundary and loading conditions. Finite Element simulation results in terms of load versus deflection are compared with that of experimental study. The nonlinear FE analysis results shows good agreement with experimental results.

Torsional strengthening of RC beams using stainless steel wire mesh -Experimental and numerical study

  • Patel, Paresh V.;Raiyani, Sunil D.;Shah, Paurin J.
    • Structural Engineering and Mechanics
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    • v.67 no.4
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    • pp.391-401
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    • 2018
  • Locally available Stainless Steel Wire Mesh (SSWM) bonded on a concrete surface with an epoxy resin is explored as an alternative method for the torsional strengthening of Reinforced Concrete (RC) beam in the present study. An experiment is conducted to understand the behavior of RC beams strengthened with a different configuration of SSWM wrapping subjected to pure torsion. The experimental investigation comprises of testing fourteen RC beams with cross section of $150mm{\times}150mm$ and length 1300 mm. The beams are reinforced with 4-10 mm diameter longitudinal bars and 2 leg-8 mm diameter stirrups at 150 mm c/c. Two beams without SSWM strengthening are used as control specimens and twelve beams are externally strengthened by six different SSWM wrapping configurations. The torsional moment and twist at first crack and at an ultimate stage as well as torque-twist behavior of SSWM strengthened specimens are compared with control specimens. Also the failure modes of the beams are observed. The rectangular beams strengthened with corner and diagonal strip wrapping configuration exhibited better enhancement in torsional capacity compared to other wrapping configurations. The numerical simulation of SSWM strengthened RC beam under pure torsion is carried out using finite element based software ABAQUS. Results of nonlinear finite element analysis are found in good agreement with experimental results.

Effect of Some Bases Individually and Their Synergists with Dimethoate and Dichlorvos (DDVP) on the Mulberry Whitefly, Aleuroclava sp. Singh

  • Bandyopadhyay, U.K.;Santhakumar, M.V.;Das, K.K.;Chakraborty, N.;Saratchandra, B.
    • International Journal of Industrial Entomology and Biomaterials
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    • v.3 no.1
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    • pp.51-56
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    • 2001
  • Field experiments were conducted to find out the effec- tive control measures with some bases alone and in combination with Dichlorvos and Dimethoate for the whitefly Aleuroclava sp. Singh in the mulberry garden. Four common bases marketed in India Soda, Sunlight, Nirma and Surf at 1% concentration and their synergists with 0.02% Dichlorvos and 0.03% Dimethoate applied to mulberry plants reduced the whitefly by 46-95% (adults) 50-90% (nymphs) upto 15 days of application. Amongst the bases 1% Soda is more effective but, the mixing of 0.02% Dichlorvos with 1% Surf found more effective than 0.02% Dichlorvos With 1% Soda solution. As Surf and Dichlorvos mixture is costly for the control of whitely, Soda was found better (in combination with Dichlorvos) as it is cheaper and easily available to the farmers.

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Strengthening of axially loaded concrete columns using stainless steel wire mesh (SSWM)-numerical investigations

  • Kumar, Varinder;Patel, P.V.
    • Structural Engineering and Mechanics
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    • v.60 no.6
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    • pp.979-999
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    • 2016
  • Stainless steel wire mesh (SSWM) is an alternative material for strengthening of structural elements similar to fiber reinforced polymer (FRP). Finite element (FE) method based Numerical investigation for evaluation of axial strength of SSWM strengthened plain cement concrete (PCC) and reinforced cement concrete (RCC) columns is presented in this paper. PCC columns of 200 mm diameter with height 400 mm, 800 mm and 1200 mm and RCC columns of diameter 200 mm with height of 1200 mm with different number of SSWM wraps are considered for study. The effect of concrete grade, height of column and number of wraps on axial strength is studied using finite element based software ABAQUS. The results of numerical simulation are compared with experimental study and design guidelines specified by ACI 440.2R-08 and CNR-DT 200/2004. As per numerical analysis, an increase in axial capacity of 15.69% to 153.95% and 52.39% to 109.06% is observed for PCC and RCC columns respectively with different number of SSWM wraps.

Integration of Strategic Issue Management and Knowledge Management in View of Strategic Information Paradigm - An Integrative Framework

  • Yum, Ji-Hwan;Mallikarjun, M.
    • Proceedings of the CALSEC Conference
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    • 2005.03a
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    • pp.24-50
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    • 2005
  • Knowledge management is a current management concept dealing with information gathering and implementation processes for the organizational performance advantage. The study investigates knowledge management in two perspectives: internally, Organizational information processing structure and externally, strategic issue management system. The study proposes the existence of filtering processes in the organizations. Based on this argument, the authors propose that organizations need to employ strategic issue management system for the successful implementation of knowledge management.

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Pharmacological classification of herbal anti-asthmatics

  • Goyal, Bhoomika R;Agrawal, Babita B;Goyal, Ramesh K;Mehta, Anita A
    • Advances in Traditional Medicine
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    • v.7 no.1
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    • pp.11-25
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    • 2007
  • Bronchial asthma is a major public health problem worldwide and the morbidity and mortality of asthma have increased in last few decades. There is high prevalence of usage of alternative traditional system of medicines for the treatment of asthma. Large numbers of medicinal plant preparations have been reported to possess anti-asthmatic effects. Plant cells are now considered to be the chemical factories synthesizing a large variety of chemical compounds. Further, Ayurvedic system of medicine has an elaborate description of asthma from the earliest times describing it as 'Shwasa' meaning disease pertaining to breathing. This review classifies the antiasthmatics herbs based on the possible mechanism of action reported. Thus, these plants can be used to obtain a polyherbal formulation which contains various herbs acting at particular sites of the pathophysiological cascade of asthma for prophylaxis as well as for the treatment of asthma.

The Diffusion and Use of RFID Technology in India

  • Bhatt, Nityesh;Cho, Namjae
    • Asia-Pacific Journal of Business
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    • v.2 no.2
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    • pp.36-60
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    • 2011
  • Radio frequency identification(RFID) is a system of technology that transmits digitally coded identity information in the form of a unique serial number of an object or person wirelessly, using radio waves. The primary use of RFID has been in asset tracking. This makes it highly useful across various industries for effective and efficient conduct of different business processes like supply chain management (SCM). As the use of RFID expands, the use of this technology is observed in such industries as transportation, traffic payment, hospital and medical care, education, and retail. Although this technology offers immense potential, it faces multifarious roadblocks, particularly in developing countries like India. Under this backdrop, this paper attempts to present an overview of the use and application RFID technology in India with a highlight on business-ecosystem for RFID in India. We also present various technical and non-technical challenges in the implementation of RFID in India.

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ESTIMATING VARIOUS MEASURES IN NORMAL POPULATION THROUGH A SINGLE CLASS OF ESTIMATORS

  • Sharad Saxena;Housila P. Singh
    • Journal of the Korean Statistical Society
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    • v.33 no.3
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    • pp.323-337
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    • 2004
  • This article coined a general class of estimators for various measures in normal population when some' a priori' or guessed value of standard deviation a is available in addition to sample information. The class of estimators is primarily defined for a function of standard deviation. An unbiased estimator and the minimum mean squared error estimator are worked out and the suggested class of estimators is compared with these classical estimators. Numerical computations in terms of percent relative efficiency and absolute relative bias established the merits of the proposed class of estimators especially for small samples. Simulation study confirms the excellence of the proposed class of estimators. The beauty of this article lies in estimation of various measures like standard deviation, variance, Fisher information, precision of sample mean, process capability index $C_{p}$, fourth moment about mean, mean deviation about mean etc. as particular cases of the proposed class of estimators.