scholarly journals Numerical Investigation of the Collapse of a Steel Truss Roof and a Probable Reason of Failure

2020 ◽  
Vol 10 (21) ◽  
pp. 7769
Author(s):  
Mertol Tüfekci ◽  
Ekrem Tüfekci ◽  
Adnan Dikicioğlu
Keyword(s):  
Loading Condition ◽  
Heavy Rain ◽  
Weather Conditions ◽  
Northwestern Part ◽  
Characteristic Form ◽  
Similar Form ◽  
Element Analysis ◽  
Lightning Strikes ◽  
Steel Truss ◽  
Factory Building

This study investigated the failure of the roof, with steel truss construction, of a factory building in Tekirdag in the northwestern part of Turkey. The failure occurred under hefty weather conditions including lightning strikes, heavy rain, and fierce winds. In order to interpret the reason for the failure, the effects of different combinations of factors on the design and dimensioning of the roof were studied. Finite element analysis, using the commercial software Abaqus (Dassault Systèmes, Vélizy-Villacoublay, France), was performed several times under different assumptions and considering different factors with the aim of determining the dominant factors that were responsible for the failure. Each loading condition gives out a characteristic form of failure. The scenario with the most similar form of failure to the real collapse is considered as the most likely scenario of failure. In addition, the factors included in this scenario are expected to be the responsible factors for the partial collapse of the steel truss structure.

Numerical Investigation of the Collapse of the Steel Truss Roof and a Probable Reason of Failure

2020 ◽  
Author(s):  
Mertol Tufekci ◽  
Ekrem Tüfekci ◽  
Adnan Dikicioğlu
Keyword(s):  
Loading Condition ◽  
Heavy Rain ◽  
Weather Conditions ◽  
Characteristic Form ◽  
Similar Form ◽  
Element Analysis ◽  
Lightning Strikes ◽  
Steel Truss ◽  
North Western ◽  
Factory Building

This study investigates the failure of a roof with steel truss construction of a factory building in Tekirdag in North-western part of Turkey. The failure occurred under hefty weather conditions including thunderbolt, lightning strikes, heavy rain and fierce winds. In order to interpret the reason for the failure, the effects of different combinations of factors on the design and dimensioning of the roof are checked. Therefore, finite element analysis is performed several times under different assumptions and considering different factors aiming to determine the dominant ones that are responsible for the failure using the commercial software Abaqus (Dassault Systèmes, Vélizy-Villacoublay, France). Each loading condition gives out a characteristic form of failure. The scenario with the most similar form of failure to the real collapse is considered as the most likely scenario of failure. Also, the factors included in this scenario are expected to be the responsible factors for the partial collapse of the steel truss structure.

scholarly journals Numerical Investigation of the Collapse of the Steel Truss Roof and a Probable Reason of Failure

2020 ◽  
Author(s):  
Mertol Tufekci ◽  
Ekrem Tüfekci ◽  
Adnan Dikicioğlu
Keyword(s):  
Loading Condition ◽  
Heavy Rain ◽  
Weather Conditions ◽  
Characteristic Form ◽  
Similar Form ◽  
Element Analysis ◽  
Lightning Strikes ◽  
Steel Truss ◽  
North Western ◽  
Factory Building

This study investigates the failure of a roof with steel truss construction of a factory building in Tekirdag in North-western part of Turkey. The failure occurred under hefty weather conditions including thunderbolt, lightning strikes, heavy rain and fierce winds. In order to interpret the reason for the failure, the effects of different combinations of factors on the design and dimensioning of the roof are checked. Therefore, finite element analysis is performed several times under different assumptions and considering different factors aiming to determine the dominant ones that are responsible for the failure. Each loading condition gives out a characteristic form of failure. The scenario with the most similar form of failure to the real collapse is considered as the most likely scenario of failure. Also, the factors included in this scenario are expected to be the responsible factors for the partial collapse of the steel truss structure.

Tensegrity Structures in the Design of Flexible Structures for Offshore Aquaculture

2007 ◽  
Author(s):  
O̸sten Jensen ◽  
Anders Sunde Wroldsen ◽  
Pa˚l Furset Lader ◽  
Arne Fredheim ◽  
Mats Heide ◽  
...  
Keyword(s):  
Flexible Structures ◽  
Weather Conditions ◽  
High Energy ◽  
Open Ocean ◽  
Element Analysis ◽  
Tensegrity Structures ◽  
Stiffness Properties ◽  
Offshore Aquaculture ◽  
And Performance ◽  
Open Ocean Aquaculture

Aquaculture is the fastest growing food producing sector in the world. Considerable interest exists in developing open ocean aquaculture in response to a shortage of suitable, sheltered inshore locations. The harsh weather conditions experienced offshore lead to a focus on new structure concepts, remote monitoring and a higher degree of automation in order to keep the cost of structures and operations within an economically viable range. This paper proposes tensegrity structures in the design of flexible structures for offshore aquaculture. The finite element analysis program ABAQUS™ has been used to investigate stiffness properties and performance of tensegrity structures when subjected to various forced deformations and hydrodynamic load conditions. The suggested concept, the tensegrity beam, shows promising stiffness properties in tension, compression and bending, which are relevant for development of open ocean aquaculture construction for high energy environments. When designing a tensegrity beam, both pre-stress and spring stiffness should be considered to ensure the desired structural properties. A large strength to mass ratio and promising properties with respect to control of geometry, stiffness and vibration could make tensegrity an enabling technology for future developments.

Construction Monitoring on Steel Truss Bridge’s Maintenance and Reinforcement

2018 ◽  
Vol 878 ◽  
pp. 89-94 ◽  
Author(s):  
Er Lei Wang
Keyword(s):  
Simulation Analysis ◽  
Analysis Model ◽  
Element Analysis ◽  
Construction Monitoring ◽  
Finite Element Analysis Model ◽  
Bridge Steel ◽  
Steel Truss ◽  
Stress And Deformation ◽  
Site Test

Implementing monitoring over construction process of old bridge’s reinforcement serves as an important measure to ensure construction quality and safety and realize the goal of reinforcement. This paper, with a case study of the maintenance and reinforcement project of Zhicheng Yangtze River Bridge (steel truss highway-railway combined bridge), adopted MIDAS to establish finite element analysis model, and with stress and deformation as monitoring parameters, completed the construction monitoring work, numerical simulation analysis and site test for the reinforcement project.

With Different Axial Compression, the Finite Element Analysis of Concrete Frame Column that Reinforced by Assemble Inclined Web Steel Truss

2014 ◽  
Vol 1079-1080 ◽  
pp. 177-182
Author(s):  
Shao Wu Zhang ◽  
Ying Chuan Chen ◽  
Geng Biao Zhang
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Bearing Capacity ◽  
Axial Compression ◽  
Simulation Analysis ◽  
Hysteresis Curve ◽  
Element Analysis ◽  
Concrete Frame ◽  
The Finite Element Analysis ◽  
Steel Truss

In order to study the performance of concrete frame columns that reinforcedby assembleinclined web steel truss, with the same reciprocatinghorizontal displacement and different axialcompression.It canbe calculate the mechanical behavior of concrete frame columns and reinforced columns by using the finite element analysis software ABAQUS. Simulation analysis shows that the bearing capacity ofreinforced columnshas greatly increased andpresented a full hysteresis curve. The result shows that the reinforcement method of assemble inclined web steel truss can greatly improve the bearing capacity and ductility of the concrete frame column, and the axial compression is larger, the better the reinforcement effect.

scholarly journals GEOMATIC TECHNIQUES FOR THE OPTIMIZATION OF SKI RESOURCES

2020 ◽  
Vol XLIII-B2-2020 ◽  
pp. 1009-1016
Author(s):  
I. Aicardi ◽  
S. Angeli ◽  
N. Grasso ◽  
A. M. Lingua ◽  
P. Maschio
Keyword(s):  
Heat Waves ◽  
Low Cost ◽  
Winter Season ◽  
Heavy Rain ◽  
Weather Conditions ◽  
Fundamental Aspect ◽  
Carbon Neutrality ◽  
Aerial Vehicle ◽  
Gnss Receivers ◽  
Processing Techniques

Abstract. Climate change is already affecting the entire world, with extreme weather conditions such as drought, heat waves, heavy rain, floods and landslides becoming more frequent, including Europe. In according to Paris agreement and relative European announcement of Carbon neutrality (by 2050), the saving of water and energy supplies is a fundamental aspect in the management of resources in production, sports, hospitality facilities and so on. Some methodologies for the optimization of the consumption of natural resources are required. This article describes an activity aimed at measuring, monitoring and analysing the thickness of the snowpack on the ski slopes during the winter season to permit a sustainable approach of snowmaking in alpine ski areas . The authors propose a methodology based on the integration of multitemporal surface (ground/snow) survey by Autonomous Aerial Vehicle (AAV) and low cost GNSS receivers mounted on snow groomers for a RTK (Real Time Kinematic) solution. To obtain a complete snow surface digital models with poor detailed images on ski slopes, some pre-processing techniques have been analysed to locally improve contrast and details with a local high pass filtering. The methodology has been employed in two study areas (Limone Piemonte, Prato Nevoso) located in the province of Cuneo, in the southern alpine area of Piedmont.

scholarly journals Net ecosystem exchange and energy fluxes in a West Siberian bog

2017 ◽  
Author(s):  
Pavel Alekseychik ◽  
Ivan Mammarella ◽  
Dmitry Karpov ◽  
Sigrid Dengel ◽  
Irina Terentieva ◽  
...  
Keyword(s):  
Net Ecosystem Exchange ◽  
Bowen Ratio ◽  
Heavy Rain ◽  
West Siberia ◽  
Weather Conditions ◽  
Middle Taiga ◽  
Energy Budgets ◽  
Co2 Uptake ◽  
Surface Exchange ◽  
Rainy Weather

Abstract. Very few studies of ecosystem-atmosphere exchange involving eddy-covariance data have been conducted in Siberia, and none in West Siberia. This work provides the first estimates of carbon dioxide (CO2) and energy budgets at a typical bog of the West Siberian middle taiga based on May-August measurements in 2015. The footprint of measured fluxes consisted of homogeneous mixture of tree-covered ridges and hollows with the vegetation represented by typical sedges and shrubs. Generally, the surface exchange rates resembled those of pine-covered bogs elsewhere. The surface energy balance closure was 90 %. Net CO2 uptake was comparatively high, summing up to 196 gC m−2 for the four measurement months, while the Bowen ratio was typical at 30 %. The ecosystem turned into a net CO2 source during several front passage events in June and July. Several periods of heavy rain helped keep the water table at a constant level, preventing a usual drawdown in summer. However, because of the cloudy and rainy weather, the observed fluxes might rather represent the special weather conditions of 2015 than their typical level.

Investigating the Impact of Rainfall on Travel Speed

2014 ◽  
Vol 71 (3) ◽  
Author(s):  
Nordiana Mashros ◽  
Johnnie Ben-Edigbe ◽  
Hashim Mohammed Alhassan ◽  
Sitti Asmah Hassan
Keyword(s):  
Empirical Studies ◽  
Heavy Rain ◽  
Weather Conditions ◽  
Travel Speed ◽  
Operating Conditions ◽  
Speed Reduction ◽  
Light Rain ◽  
Rainfall Condition ◽  
Adverse Weather ◽  
The Impact

The road network is particularly susceptible to adverse weather with a range of impacts when different weather conditions are experienced. Adverse weather often leads to decreases in traffic speed and subsequently affects the service levels. The paper is aimed at investigating the impact of rainfall on travel speed and quantifying the extent to which travel speed reduction occurs. Empirical studies were conducted on principle road in Terengganu and Johor, respectively for three months. Traffic data were collected by way of automatic traffic counter and rainfall data from the nearest raingauge station were supplied by the Department of Irrigation and Drainage supplemented by local survey data. These data were filtered to obtain traffic flow information for both dry and wet operating conditions and then were analyzed to see the effect of rainfall on percentile speeds. The results indicated that travel speed at 15th, 50th and 85th percentiles decrease with increasing rainfall intensities. It was observed that allpercentile speeds decreased from a minimum of 1% during light rain to a maximum of 14% during heavy rain. Based on the hypothesis that travel speed differ significantly between dry and rainfall condition; the study found substantial changes in percentile speeds and concluded that rainfalls irrespective of their intensities have significant impact on the travel speed.

Influence of Rain on Highway Breakdown Probability

2020 ◽  
Vol 2674 (8) ◽  
pp. 687-695 ◽  
Author(s):  
Douglas Zechin ◽  
Felipe Caleffi ◽  
Helena Beatriz Bettella Cybis
Keyword(s):  
Traffic Flow ◽  
Probability Distributions ◽  
Heavy Rain ◽  
Weather Conditions ◽  
Likelihood Methods ◽  
Rain Gauges ◽  
Loop Detectors ◽  
Maximum Likelihood Methods ◽  
Breakdown Probability ◽  
Product Limit

Capacity has been used to describe a deterministic value that represents the maximum volume of traffic supported by a road. Studies have pointed out the importance of not using a single value for capacity, but rather the concept of probability of occurrence of a traffic-flow breakdown. In this paper the probabilities of breakdown for a Brazilian highway under different weather conditions are compared. Data collected from inductive loop detectors and pluviometric data from automatic rain gauges are combined. Two methodologies of breakdown identification are then compared. The most consistent methodology for identifying breakdowns is used to generate breakdown probability distributions using the product limit and maximum-likelihood methods with the Weibull distribution. The results indicate significant differences in probability of breakdown for each studied climatic condition, including a maximum difference greater than 50% between dry and heavy rain conditions under the same traffic flow.

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