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Undercrossing live tunnels in parallel below the water table in an urban environment
Published in Daniele Peila, Giulia Viggiani, Tarcisio Celestino, Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art, 2020
V. Diwakar, T. Amsyar, N. Ramesh
With reference to Figure 10, it was evident that the impact on prism movement and settlement was minimal despite reactive pore pressure trends. This implied the structural stability of the tunnel. In addition, the maximum dip allowed was 0.5mm and the corresponding twist was kept below the alert level of 1:500. For straight alignment, the versine was kept below 3mm, whereas for curved alignment, the versine was kept below 4mm.
Undercrossing live tunnels in parallel below the water table in an urban environment
Published in Daniele Peila, Giulia Viggiani, Tarcisio Celestino, Tunnels and Underground Cities: Engineering and Innovation meet Archaeology, Architecture and Art, 2019
V. Diwakar, T. Amsyar, N. Ramesh
With reference to Figure 10, it was evident that the impact on prism movement and settlement was minimal despite reactive pore pressure trends. This implied the structural stability of the tunnel. In addition, the maximum dip allowed was 0.5mm and the corresponding twist was kept below the alert level of 1:500. For straight alignment, the versine was kept below 3mm, whereas for curved alignment, the versine was kept below 4mm.
Cold supply chain inventory models for agricultural products with multi-stage stochastic deterioration rates
Published in Journal of Management Analytics, 2023
Raosaheb Latpate, Maruti Bhosale, Sandesh Kurade
Mejjaouli and Babiceanu (2018) proposed a insights logistic cold supply chain model for perishable items by facing various challenges in the transportation and tackled by these problems by the techniques of Temporary Virtual Machine (TVM). Rafie-Majd et al. (2018) proposed a supply chain model to solve the inventory and routing problem for multi-echelon criteria and for multi-perishable items by considering uncertainty. Zhang et al. (2019) proposed a cold supply chain model to optimize the logistic routing problem of vehicle and solved by using genetic algorithm. Lusiantoro et al. (2018) explained in detail the construction of supply chain for perishable items, challenges in supply chain. Latpate and Kurade (2022) developed a model for import of crude oil and its impact on the economy of the country. For transporting oil from one place to another place there is necessary to optimize their routes and modes of transportation. This article presents a two-stage cost and time minimizing fuzzy multi objective multi index transportation problem. Yu and Xiao (2017) proposed a two stackleberg game model to investigate the pricing and service level decision of a fresh agri-products supply chain including one supplier, one retailer and one third party. Wang et al. (2017) developed a model for optimization of vehicle routing problem with time windows for cold supply chain which is related to carbon emission. Yan (2017) proposed revenue of supply chain model for cold supply chain related to perishable items to increase the revenue of supply chain by the technique of Internet of Thing (IOT). Singh et al. (2018) developed a model for a cold chain location for shippers and customers by considering value deterioration and coordination by using big data approximation. They set the warehouse locations by using the Haversine formula. Haversine formula considers spherical shape of earth, the distance between two points and the radius of the earth.