scholarly journals Fully probabilistic design: the way for optimizing of concrete structures

2011 ◽  
Vol 4 (2) ◽  
pp. 173-177
Author(s):  
I. Laníková ◽  
P. Štěpánek ◽  
P. Šimunek ◽  
D. Horák ◽  
M. Zlámal
Keyword(s):  
Probabilistic Approach ◽  
Concrete Structures ◽  
Latin Hypercube Sampling ◽  
Probabilistic Design ◽  
Efficient Design ◽  
Limit States ◽  
Reliability Factor ◽  
Factor Method ◽  
Partial Factor Method ◽  
Partial Factor

Some standards for the design of concrete structures (e.g. EC2 and the original ČSN 73 1201-86) allow a structure to be designed by several methods. This contribution documents the fact that even if a structure does not comply with the partial reliability factor method, according to EC2, it can satisfy the conditions during the application of the fully probabilistic approach when using the same standard. From an example of the reliability of a prestressed spun concrete pole designed by the partial factor method and fully probabilistic approach according to the Eurocode it is evident that an expert should apply a more precise (though unfortunately more complicated) method in the limiting cases. The Monte Carlo method, modified by the Latin Hypercube Sampling (LHS) method, has been used for the calculation of reliability. Ultimate and serviceability limit states were checked for the partial factor method and fully probabilistic design. As a result of fully probabilistic design it is possible to obtain a more efficient design for a structure.

Probabilistic Assessment of Historic Reinforced Concrete Bridge

2016 ◽  
Vol 821 ◽  
pp. 767-773
Author(s):  
Jan Krejsa ◽  
Miroslav Sýkora ◽  
Michal Drahorád
Keyword(s):  
Reinforced Concrete ◽  
Bearing Capacity ◽  
Probabilistic Method ◽  
Concrete Bridge ◽  
Load Bearing Capacity ◽  
Load Bearing ◽  
Reinforced Concrete Bridge ◽  
Factor Method ◽  
Partial Factor Method ◽  
Partial Factor

This paper is aimed at the reliability analysis of an existing reinforced concrete bridge from 1908. The load bearing capacity is assessed in accordance with valid standards using the partial factor method and probabilistic approach. Load bearing capacities obtained by these methods are critically compared. The application of probabilistic method leads to 40 % higher load bearing capacity then the partial factor method used for structural design.

An adjusted partial factor method for temporary structures compatible with the Eurocode framework

2013 ◽  
Vol 30 (2) ◽  
pp. 97-114 ◽  
Author(s):  
Robby C.E. Caspeele ◽  
Raphaël D.J.M. Steenbergen ◽  
Luc R. Taerwe
Keyword(s):  
Factor Method ◽  
Partial Factor Method ◽  
Partial Factor

CARBONATION INDUCED CORROSION ANALYSIS OF REINFORCED CONCRETE STRUCTURES BASED ON FULL PROBABILISTIC APPROACH – AN INDONESIAN CASE STUDY

2018 ◽  
Vol 4 (1) ◽  
pp. 165
Author(s):  
Herry Prabowo ◽  
Mochamad Hilmy
Keyword(s):  
Service Life ◽  
Probabilistic Approach ◽  
Concrete Structures ◽  
Weather Condition ◽  
Analysis Data ◽  
National Standard ◽  
Concrete Carbonation ◽  
Durability Design ◽  
Starting Point ◽  
Real Performance

The assessment of the service life of concrete structures using the durability design approach is widely accepted nowadays. It is really encouraged that a simulation model can resemble the real performance of concrete during the service life. This paper investigates the concrete carbonation through probabilistic analysis. Data regarding Indonesian construction practice were taken from Indonesian National Standard (SNI). Meanwhile, data related to Indonesian weather condition for instance humidity and temperature are taken from local Meteorological, Climatological, and Geophysical Agency from 2004 until 2016. Hopefully the results can be a starting point for durability of concrete research in Indonesia.

scholarly journals A Probabilistic Approach to Phosphorus Speciation of Soils Using P K-edge XANES Spectroscopy with Linear Combination Fitting

Soil Systems ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 26 ◽  
Author(s):  
Jon Petter Gustafsson ◽  
Sabina Braun ◽  
J. R. Marius Tuyishime ◽  
Gbotemi A. Adediran ◽  
Ruben Warrinnier ◽  
...  
Keyword(s):  
Linear Combination ◽  
Probabilistic Method ◽  
Probabilistic Approach ◽  
Latin Hypercube Sampling ◽  
Energy Calibration ◽  
Strongly Correlated ◽  
Edge Structure ◽  
Common Technique ◽  
End Members ◽  
X Ray Absorption

A common technique to quantitatively estimate P speciation in soil samples is to apply linear combination fitting (LCF) to normalized P K-edge X-ray absorption near-edge structure (XANES) spectra. Despite the rapid growth of such applications, the uncertainties of the fitted weights are still poorly known. Further, there are few reports to what extent the LCF standards represent unique end-members. Here, the co-variance between 34 standards was determined and their significance for LCF was discussed. We present a probabilistic approach for refining the calculation of LCF weights based on Latin hypercube sampling of normalized XANES spectra, where the contributions of energy calibration and normalization to fit uncertainty were considered. Many of the LCF standards, particularly within the same standard groups, were strongly correlated. This supports an approach in which the LCF standards are grouped. Moreover, adsorbed phytates and monetite were well described by other standards, which puts into question their use as end-members in LCF. Use of the probabilistic method resulted in uncertainties ranging from 2 to 11 percentage units. Uncertainties in the calibrated energy were important for the LCF weights, particularly for organic P, which changed with up to 2.7 percentage units per 0.01 eV error in energy. These results highlight the necessity of careful energy calibration and the use of frequent calibration checks. The probabilistic approach, in which at least 100 spectral variants are analyzed, improves our ability to identify the most likely P compounds present in a soil sample, and a procedure for this is suggested in the paper.

scholarly journals Probability-Based Concrete Carbonation Prediction Using On-Site Data

2020 ◽  
Vol 10 (12) ◽  
pp. 4330
Author(s):  
Hyunjun Jung ◽  
Seok-Been Im ◽  
Yun-Kyu An
Keyword(s):  
Probabilistic Approach ◽  
Concrete Structures ◽  
Design Parameters ◽  
Degree Of Hydration ◽  
Concrete Carbonation ◽  
Remaining Service Life ◽  
Long Term Performance ◽  
Term Performance ◽  
Prediction Approach

This study proposes a probability-based carbonation prediction approach for successful monitoring of deteriorating concrete structures. Over the last several decades, a number of researchers have studied the concrete carbonation prediction to estimate the long-term performance of carbonated concrete structures. Recently, probability-based durability analyses have been introduced to precisely estimate the carbonation of concrete structures. Since the carbonation of concrete structures, however, can be affected by material compositions as well as various environmental conditions, it is still a challenge to predict concrete carbonation in the field. In this study, the Fick’s first law and a Bayes’ theorem-based carbonation prediction approach is newly proposed using on-site data, which were obtained over 19 years. In particular, the effects of design parameters such as diffusion coefficient, concentration, absorption quantity of CO2, and the degree of hydration have been thoroughly considered in this study. The proposed probabilistic approach has shown a reliable prediction of concrete carbonation and remaining service life.

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