Incorporation of Smart Concrete in Large-Scale RC Beams for Evaluating Self-Sensing and structural Properties

2021 ◽  
Author(s):  
Arvind Kumar Cholker
Keyword(s):  
Structural Properties ◽  
Large Scale ◽  
Rc Beams ◽  
Smart Concrete

Practical Method for Damage Evaluation Based on Point Estimate Considering Uncertainty of Structural Properties

2015 ◽  
Vol 802 ◽  
pp. 255-260
Author(s):  
Kahori Iiyama ◽  
Masataka Hoso ◽  
Takanori Ishida ◽  
Kohei Fujita ◽  
Yoshihiro Yamazaki ◽  
...  
Keyword(s):  
Structural Properties ◽  
Model Uncertainty ◽  
Structural Damage ◽  
Large Scale ◽  
Practical Method ◽  
Point Estimate ◽  
Damage Evaluation ◽  
Building Structures ◽  
Large Scale Simulation ◽  
Seismic Simulation

This study introduces a practical method for evaluating structural damage based on a large-scale simulation targeting expansive areas, like whole cities. In such a seismic simulation that deals with numerous building structures, it is desirable to estimate the damage based on a stochastic evaluation considering the uncertainty of structural properties. This is because an accurate modeling of numerous building structures, according to each designed value, would require a great deal of time. However, a damage evaluation considering the model uncertainty generally involves numerous calculations and is inadequate for such a large-scale simulation. Therefore, we propose a method using the point estimate technique which can estimate the probability of damage under model uncertainty from a small number of calculations. The applicability and usefulness of the proposed method is evaluated by comparing it to the method based on a Monte Carlo simulation.

Large scale purification and structural properties of yeast aspartyl-tRNA synthetase

1983 ◽  
Vol 117 (1) ◽  
pp. 259-267 ◽  
Author(s):  
B. Lorber ◽  
D. Kern ◽  
A. Dietrich ◽  
J. Gangloff ◽  
J.P. Ebel ◽  
...  
Keyword(s):  
Structural Properties ◽  
Large Scale ◽  
Trna Synthetase

Bilevel Integer Programs with Stochastic Right-Hand Sides

2021 ◽  
Author(s):  
Junlong Zhang ◽  
Osman Y. Özaltın
Keyword(s):  
Structural Properties ◽  
Large Scale ◽  
Value Function ◽  
Integer Program ◽  
Value Functions ◽  
Integer Programs ◽  
Solution Algorithms ◽  
Right Hand ◽  
Solution Methods ◽  
The Value Function

We develop an exact value function-based approach to solve a class of bilevel integer programs with stochastic right-hand sides. We first study structural properties and design two methods to efficiently construct the value function of a bilevel integer program. Most notably, we generalize the integer complementary slackness theorem to bilevel integer programs. We also show that the value function of a bilevel integer program can be characterized by its values on a set of so-called bilevel minimal vectors. We then solve the value function reformulation of the original bilevel integer program with stochastic right-hand sides using a branch-and-bound algorithm. We demonstrate the performance of our solution methods on a set of randomly generated instances. We also apply the proposed approach to a bilevel facility interdiction problem. Our computational experiments show that the proposed solution methods can efficiently optimize large-scale instances. The performance of our value function-based approach is relatively insensitive to the number of scenarios, but it is sensitive to the number of constraints with stochastic right-hand sides. Summary of Contribution: Bilevel integer programs arise in many different application areas of operations research including supply chain, energy, defense, and revenue management. This paper derives structural properties of the value functions of bilevel integer programs. Furthermore, it proposes exact solution algorithms for a class of bilevel integer programs with stochastic right-hand sides. These algorithms extend the applicability of bilevel integer programs to a larger set of decision-making problems under uncertainty.

scholarly journals Online Social Networks (OSN) Evolution Model Based on Homophily and Preferential Attachment

Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 654 ◽  
Author(s):  
Jebran Khan ◽  
Sungchang Lee
Keyword(s):  
Social Networks ◽  
Structural Properties ◽  
Online Social Networks ◽  
Large Scale ◽  
Preferential Attachment ◽  
Real Life ◽  
Synthetic Data ◽  
Evolution Model ◽  
Scale Invariant ◽  
Scale Free

In this paper, we propose a new scale-free social networks (SNs) evolution model that is based on homophily combined with preferential attachments. Our model enables the SN researchers to generate SN synthetic data for the evaluation of multi-facet SN models that are dependent on users’ attributes and similarities. Homophily is one of the key factors for interactive relationship formation in SN. The synthetic graph generated by our model is scale-invariant and has symmetric relationships. The model is dynamic and sustainable to changes in input parameters, such as number of nodes and nodes’ attributes, by conserving its structural properties. Simulation and evaluation of models for large-scale SN applications need large datasets. One way to get SN data is to generate synthetic data by using SN evolution models. Various SN evolution models are proposed to approximate the real-life SN graphs in previous research. These models are based on SN structural properties such as preferential attachment. The data generated by these models is suitable to evaluate SN models that are structure dependent but not suitable to evaluate models which depend on the SN users’ attributes and similarities. In our proposed model, users’ attributes and similarities are utilized to synthesize SN graphs. We evaluated the resultant synthetic graph by analyzing its structural properties. In addition, we validated our model by comparing its measures with the publicly available real-life SN datasets and previous SN evolution models. Simulation results show our resultant graph to be a close representation of real-life SN graphs with users’ attributes.

scholarly journals Sensitivity of Bistatic TanDEM-X Data to Stand Structural Parameters in Temperate Forests

2019 ◽  
Vol 11 (24) ◽  
pp. 2966
Author(s):  
Stefan Erasmi ◽  
Malte Semmler ◽  
Peter Schall ◽  
Michael Schlund
Keyword(s):  
Sensitivity Analysis ◽  
Structural Properties ◽  
Large Scale ◽  
Vertical Structure ◽  
Temperate Forests ◽  
Forest Type ◽  
Structural Parameters ◽  
Stem Volume ◽  
Forest Stands ◽  
Canopy Volume

Synthetic aperture radar (SAR) satellite data provide a valuable means for the large-scale and long-term monitoring of structural components of forest stands. The potential of TanDEM-X interferometric SAR (InSAR) for the assessment of forest structural properties has been widely verified. However, present studies are mostly restricted to homogeneous forests and do not account for stratification in assessing model performance. A systematic sensitivity analysis of the TanDEM-X SAR signal to forest structural parameters was carried out with emphasis on different strata of forest stands (location of the study site, forest type, and development stage). Forest structure was parameterized by forest height metrics and stem volume. Results show that X-band volume coherence is highly sensitive to the forest canopy. Volume scattering within the canopy is dependent on the vertical heterogeneity of the forest stand. In general, TanDEM-X coherence is more sensitive to forest vertical structure compared to backscatter. The relations between TanDEM-X volume coherence and forest structural properties were significant at the level of a single test site as well as across sites in temperate forests in Germany. Forest type does not affect the overall relationship between the SAR signal and the forests’ vertical structure. The prediction of forest structural parameters based on the outcome of the sensitivity analysis yielded model accuracies between 15% (relative root mean square error) for Lorey’s height and 32% for stem volume. The global database of single-polarized bistatic TanDEM-X data provides an important source for mapping structural parameters in temperate forests at large scale, irrespective of forest type.

scholarly journals Experimental Study of Large-scale RC Beams Shear-Strengthened with Basalt FRP Sheets

2020 ◽  
Vol 6 (4) ◽  
pp. 769-784
Author(s):  
Ahmed M. Sayed
Keyword(s):  
Large Scale ◽  
Ultimate Load ◽  
Experimental Studies ◽  
Beam Width ◽  
Lateral Strain ◽  
Width Ratio ◽  
Rc Beams ◽  
Frp Composite ◽  
Externally Bonded ◽  
New Variables

Over the last three decades, many experimental studies have been conducted to investigate the behavior of Reinforced Concrete (RC) beams, shear strengthened with externally bonded Fiber-Reinforced Polymer (FRP) composite. However, the majority of experimental studies have focused on small- to medium-scale beam specimens. As a result, most design equations that have been developed as part of these studies may thus not be accurate at predicting the shear strength of large-scale RC beams shear-strengthened with FRP sheets. This study thus involved performing tests on six specimens to study the effect of the larger scale, along with new variables such as beam width, new varieties of FRP sheets (basalt FRP (BFRP)), and the strengthening configuration (U-jacketing), on the prediction of the ultimate load of RC beams strengthened with externally bonded FRP composite. The experimental results were analyzed and showed that all these variables affected the lateral strain along the bottom and the top of the beams. It was found that variations in the depth to width ratio of the beams caused the failure angle to vary as well. For beams strengthened with BFRP sheets, both the cracking and ultimate load increased to 1.19 and 1.94 times the cracking and ultimate load of the control beams under identical conditions.

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