Reliability-Based Design of Foundations for Transmission Line Structures

Kulhawy, Fred H.; Phoon, Kok Kwang; Prakoso, Widjojo Adi; Hirany, Anwar

doi:10.1061/40790(218)17

Cited by 43 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Correlation lengths are given dimensionless ratio ( h ) in the horizontal direction in terms of B and the verticalto-horizontal ratio in the vertical direction. The accepted values are given in Table 2, and the correlation length intervals remained within the limits recommended in the literature [41,42]. Proposed hazard curves for maximum settlement and angular rotation of strip footing have been established according to the characteristic hazard limits found in the literature [43,44]: Safe Limit, Minor Damage, Medium Damage, and Major Damage (Table 3).…”

Section: Highmentioning

confidence: 88%

Hazard Curves for Reliability Assessment of Strip Footings on Spatially Varying Cohesive Soils

MERT,

YAZICI,

KHAN BABA ZADEH

2023

Turkish Journal of Civil Engineering

View full text Add to dashboard Cite

The present study aimed to create a series of hazard curves against maximum total settlement and angular rotation of strip footings for probabilistic shallow foundation design on clays. Random field finite element method (RFEM) was adopted with elasto-plastic clay-like soil behavior, deformation modulus (Ed) and shear strength parameters (c and ) were employed as random field inputs. Parameters were defined and assigned to the analysis models with varying correlation lengths (h, v). Models have been iteratively solved one thousand times, and output distributions of maximum settlement and angular rotations were recorded. Probability density functions (PDF) were fitted to the outputs, and probability of failure (Pf) for footing deformation limits was subsequently estimated. Proposed hazard curves for two anisotropy and three variability categories were developed employing the estimated Pfs. The method proposed has been validated using an independent database of in-situ results, and a worked example was provided to illustrate the implementation of the process. The key contribution of the research is to form hazard curves for shallow foundations considering elasto-plastic soil behavior with the impact of all influencing parameters, respecting the limit values for foundation deformation in the design codes. The proposed technique offers a probabilistic evaluation of strip footings with spatial variation of clayey soils and a valid method for the reliability-based design of foundations in the serviceability limit state.

show abstract

Section: Highmentioning

confidence: 88%

Hazard Curves for Reliability Assessment of Strip Footings on Spatially Varying Cohesive Soils

MERT,

YAZICI,

KHAN BABA ZADEH

2023

Turkish Journal of Civil Engineering

View full text Add to dashboard Cite

show abstract

“…The following probabilistic method can be persistently utilized to integrate the immanent soil variability, measurement error, and transformation uncertainty ( [30]: it can be accepted that the following probabilistic transformation model parameter of design (ξd) is obtained out of the possession of test measurement (ξm).…”

Section: The Hybrid Hydrodynamic Mcs Risk Modelmentioning

confidence: 99%

Unleashing the Potential of a Hybrid 3D Hydrodynamic Monte Carlo Risk Model for Maritime Structures’ Design in the Imminent Climate Change Era

Uğurlu,

Balas,

Balas

et al. 2024

JMSE

View full text Add to dashboard Cite

Submarine pipelines have become integral for transporting resources and drinking water across large bodies. Therefore, ensuring the stability and reliability of these submarine pipelines is crucial. Incorporating climate change impacts into the design of marine structures is paramount to assure their lifetime safety and serviceability. Deterministic design methods may not fully consider the uncertainties and risks related to climate change compared to risk-based design models. The latter approach considers the future risks and uncertainties linked to climate and environmental changes, thus ensuring infrastructure sustainability. This study pioneers a Hybrid 3D Hydrodynamic Monte Carlo Simulation (HMCS) Model to improve the reliability-based design of submarine pipelines, incorporating the effects of climate change. Current design approaches may follow deterministic methods, which may not systematically account for climate change’s comprehensive uncertainties and risks. Similarly, traditional design codes often follow a deterministic approach, lacking in the comprehensive integration of dynamic environmental factors such as wind, waves, currents, and geotechnical conditions, and may not adequately handle the uncertainties, including the long-term effects of climate change. Nowadays, most countries are developing new design codes to modify the risk levels for climate change’s effects, such as sea-level rises, changes in precipitation, or changes in the frequency/intensity of winds/storms/waves in coastal and marine designs. Our model may help these efforts by integrating a comprehensive risk-based approach, utilizing a 3D hydrodynamic model to correlate diverse environmental factors through Monte Carlo Simulations (MCS). The hybrid model can promise the sustainability of marine infrastructure by adapting to future environmental changes and uncertainties. Including such advanced methodologies in the design, codes are encouraged to reinforce the resilience of maritime structures in the climate change era. The present design codes should inevitably be reviewed according to climate change effects, and the hybrid risk-based design model proposed in this research should be included in codes to ensure the reliability of maritime structures. The HMCS model represents a significant advancement over existing risk models by incorporating comprehensive environmental factors, utilizing advanced simulation techniques, and explicitly addressing the impacts of climate change. This innovative approach ensures the development of more resilient and sustainable maritime infrastructure capable of withstanding future environmental uncertainties.

show abstract

“…These uncertainties can be reduced if proper correlations between the relevant parameters can be established. Kulhawy et al (2006), Griffiths (2002, 2003), Fenton, Griffiths, and Williams (2005), and Schuëller (2007) experienced that the epistemic uncertainties did not affect the response of geotechnical structures but the inherent spatial variability of soil contribute significantly to the response of geotechnical structures. Thus, the affected estimations of soil characteristics and ground stratification influence the design (or analysis) of geotechnical structures significantly.…”

Section: Introductionmentioning

confidence: 99%

Comparative Study on Reliability Analysis of Cohesive Soil Slope using Subset Simulation and Other Methods

Kar

Roy

2022

UPjeng

View full text Add to dashboard Cite

In geotechnical engineering, uncertainties arise due to variation in loads, soil characteristics, ground stratification and so on. Reliability analysis based on probabilistic approaches is particularly suitable to deal with such uncertainties. In this paper, a newly developed reliability analysis method, namely Subset simulation (SS) method has been implemented to study the stability of a cohesive slope. The results of reliability analysis obtained from SS method are also compared with three other methods, namely First order second moment method (FOSM), First order reliability method (FORM) and Direct Monte-Carlo simulation (MCS) method. The various reliability models have been used in a spreadsheet environment using MS-Excel. The developed spreadsheet-based platform implementing all four methods contains two common models i.e. deterministic model and the uncertainty model. The SS method uses another model called uncertainty propagation using subset simulation (UPSS) in addition to the two above-mentioned models. The factor of safety of the slope is determined using ordinary method of slices under undrained condition. The probability of failure ( and its corresponding reliability index of the proposed slope has been determined using all four methods. A software called Geo-Studio (SLOPE/W) has been used to tally the results of reliability analysis of the slope considered herein. The results obtained from the different methods show that the SS method gives better performance in terms of efficiency and resolution especially at low failure probability i.e., . Also, the SS method helps in identifying the significant depth where the most probable critical slip surface is located.

show abstract

Reliability-Based Design of Foundations for Transmission Line Structures

Cited by 43 publications

References 0 publications

Hazard Curves for Reliability Assessment of Strip Footings on Spatially Varying Cohesive Soils

Hazard Curves for Reliability Assessment of Strip Footings on Spatially Varying Cohesive Soils

Unleashing the Potential of a Hybrid 3D Hydrodynamic Monte Carlo Risk Model for Maritime Structures’ Design in the Imminent Climate Change Era

Comparative Study on Reliability Analysis of Cohesive Soil Slope using Subset Simulation and Other Methods

Contact Info

Product

Resources

About