- Wind Energy Research and Development
- Offshore Engineering and Technologies
- Structural Integrity and Reliability Analysis
- Wave and Wind Energy Systems
- Probabilistic and Robust Engineering Design
- Fluid Dynamics and Vibration Analysis
- Wind and Air Flow Studies
- Ship Hydrodynamics and Maneuverability
- Structural Health Monitoring Techniques
- Oil and Gas Production Techniques
- Gear and Bearing Dynamics Analysis
- Spacecraft and Cryogenic Technologies
- Fatigue and fracture mechanics
- Real-time simulation and control systems
- Mechanical stress and fatigue analysis
- Mechanical Engineering and Vibrations Research
- Marine and Offshore Engineering Studies
- COVID-19 epidemiological studies
- Underwater Vehicles and Communication Systems
- Magnetic Bearings and Levitation Dynamics
- Modeling and Simulation Systems
- Ocean Acidification Effects and Responses
- Fluid Dynamics Simulations and Interactions
- SARS-CoV-2 and COVID-19 Research
- Vibration and Dynamic Analysis
University of Stavanger
2019-2025
Shanghai Ocean University
2022
Norwegian University of Science and Technology
2011-2016
Abstract Two novel methods are being outlined that, when combined, can be used for spatiotemporal analysis of wind speeds and wave heights, thus contributing to global climate studies. First, the authors provide a unique reliability approach that is especially suited multi-dimensional structural environmental dynamic system responses have been numerically simulated or observed over substantial time range, yielding representative ergodic series. Next, this work introduces deconvolution...
Abstract Cancer is a worldwide illness that causes significant morbidity and death imposes an immense cost on global public health. Modelling such phenomenon complex because of the non-stationarity complexity cancer waves. Apply modern novel statistical methods directly to raw clinical data. To estimate extreme rate likelihood at any period in location interest. Traditional methodologies deal with temporal observations multi-regional processes cannot adequately substantial regional...
This study proposes an innovative method for predicting extreme values in offshore engineering. includes and is not limited to environmental loads due wind waves related structural reliability issues. Traditional value predictions are frequently constructed using certain statistical distribution functional classes. The proposed differs from this as it does assume any extrapolation-specific class based on the data set's intrinsic qualities. To demonstrate method's effectiveness, two speed...
Safety and reliability are essential engineering concerns for energy-harvesting installations. In the case of piezoelectric galloping energy harvester, there is a risk that excessive wake may lead to instability, overload, thus damage. With this in mind, paper studies bivariate statistics extreme, experimental harvester dynamic response under realistic environmental conditions. The were extracted from wind tunnel results, specifically voltage-force data set. Authors advocate novel...
The research examines the motion response and hydrodynamic wave loads of a deep-water tension leg platform (TLP), emphasising impacts sum frequency on restrained modes heave, roll, pitch. stochastic TLP structural reaction in random sea state was precisely computed using Volterra series representation corner vertical displacement, which selected as process. loading evaluated second-order diffraction code WAMIT applied to linear damped mass-spring model representing dynamic system. Then,...
In contrast to well-known bivariate statistical approach, which is known properly forecast extreme response levels for two-dimensional systems, the research validates innovative structural reliability method, particularly appropriate multi-dimensional responses. The disadvantage of dealing with large system dimensionality and cross-correlation across multiple dimensions not a benefit traditional dependability approaches that deal time series. Since offshore constructions are built handle...
Abstract Gulf of Eilat is rich with energy resources, however any industrial natural resource development requires additional safety, as local eco‐system has to be preserved. In contrast bivariate reliability approaches, known their accurate predictions extreme response and load levels for two‐dimensional dynamic systems, this study suggests validates novel structural method, which being appropriate method high‐dimensional systems. Conventional methods do not have an advantage dealing easily...
Abstract Modern offshore and onshore green energy engineering includes harvesting—as a result, extensive experimental investigations, as well safety reliability analysis are crucial for design engineering. For this study, several wind-tunnel experiments under realistic in situ wind speed conditions have been conducted to examine the performance of galloping harvester. Next, novel structural approach is presented here that especially suited multi-dimensional harvesting systems either...
Abstract Green renewable energy is produced by floating offshore wind turbines (FOWT), a crucial component of the modern industry. It safety concern to accurately evaluate excessive weights while FOWT operates in adverse weather conditions. Under certain water conditions, dangerous structural bending moments may result operational concerns. Using commercial FAST software, study's hydrodynamic ambient wave loads were calculated and converted into loads. This article suggests Monte Carlo‐based...
As a result of global warming, the area polar pack ice is diminishing, making merchant travel more practical. Even if Arctic thickness reduced in summer, fractured still presenting operational risks to future navigation. The intricate process ship-ice interaction includes stochastic loading on vessel hull. In order properly construct vessel, severe bow forces that arise must be accurately anticipated using statistical extrapolation techniques. This study examines an oil tanker encounters...
This article provides two unique methodologies that may be coupled to study the dependability of multidimensional nonlinear dynamic systems. First, structural reliability approach is well suited for environmental and reactions either measured or numerically simulated over sufficient time, yielding lengthy ergodic time series. Second, a predicting extreme values has technical implications. In event measurable loads, it also feasible calculate probability system failure, as shown in this...
This paper demonstrates the validity of Naess-Gadai method for extrapolating extreme value statistics second-order Volterra series processes through application on a representative model deep water small size tension leg platform (TLP), with specific focus wave sum frequency effects affecting restrained modes: heave, roll and pitch. The loading was estimated from second order diffraction code WAMIT, stochastic TLP structural response in random sea state calculated exactly using...
A subsea shuttle tanker (SST) is a pioneering underwater submarine specifically designed to economically transport CO2 smaller hydrocarbon fields. During loading and unloading of the CO2, SST hovers over well experiences extreme heave motions resulting in hydrostatic loading. Sustaining indispensable as it forms dominating load driving factor determining hull's collapse design. Furthermore, SST's surge motion regulates length flowline evade snap loads. This paper focuses on problem these...
Floating offshore wind turbines (FOWT) generate green renewable energy and are a vital part of the modern industry. Robust predicting extreme loads during FOWT operations is an important safety concern. Excessive structural bending moments may occur certain sea conditions, posing operational risk damage. This paper uses FAST code to analyze turbine due environmental acting on specific under actual local conditions. The work proposes unique Gaidai-Fu-Xing reliability approach that probably...
The paper validates novel structural reliability Gaidai-Fu-Xing (GFX) method, particularly suitable for multi-dimensional responses, versus well established bivariate statistical that is known to accurately predict two-dimensional system extreme response levels. Classic methods, dealing with time series do not have an advantage of easily high dimensionality and cross-correlation between different dimensions. An operating Jacket located in the Bohai bay was taken as example demonstrate...
The paper describes a novel structural reliability method, particularly suitable for multi-dimensional environmental systems, either measured or numerically simulated over sufficient period, resulting in sufficiently long ergodic time series. This study illustrates the efficiency of proposed methodology by applying it to predict extreme wind speeds group selected sites Southern Norway region near Landvik station. It is well known that at different locations are highly non-linear, and...
Extreme value predictions typically originate from certain functional classes of statistical distributions to fit the data and are subsequently extrapolated. This paper describes an alternative method for extrapolation that is based on intrinsic properties set itself does not pre-assume any class. The proposed novel can be utilized in engineering design. To illustrate this, this study uses two examples showcase advantages method. first example used synthetic a non-linear Duffing oscillator...
Abstract Background To estimate cardiovascular and cancer death rates by regions time periods. Design Novel statistical methods were used to analyze clinical surveillance data. Methods A multicenter, population‐based medical survey was performed. Annual recorded deaths from diseases analyzed for all 195 countries of the world. It is challenging model such data; few mathematical models can be applied because disease data are generally not normally distributed. Results novel approach assessing...
Wind turbines and associated parts are susceptible to cyclic stresses, including torque, bending, longitudinal stress, twisting moments. Therefore, research on the resilience of dynamic systems under such high loads is crucial for design future risk‐free operations. The method described in this study beneficial multidimensional structural responses that have undergone sufficient numerical simulation or measurement. In contrast established dependability methodologies, unique technique does...