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Dive into the research topics where Kaarle Ståhlberg is active.

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Featured researches published by Kaarle Ståhlberg.


Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment | 2015

Uncertainty in maritime risk analysis: Extended case study on chemical tanker collisions

Otto-Ville Sormunen; Floris Goerlandt; Jani Häkkinen; Antti Posti; Maria Hänninen; Jakub Montewka; Kaarle Ståhlberg; Pentti Kujala

Uncertainty is inherent to risk analysis. Therefore, it is extremely important to properly address the issue of uncertainty. In the field of risk analysis for maritime transportation systems, the effect of uncertainty is rarely discussed or quantified. For this reason, this article discusses a case study dealing with risk analysis for a chemical spill in the Gulf of Finland and analyses the related uncertainties by adopting a systematic framework. Risk is assessed in terms of the expected spill frequency and spill volumes caused by collisions between ships and chemical tankers in the Gulf of Finland. This is done by applying a collision consequence with a novel approach-to-collision-speed linkage model and Gulf of Finland–specific causation factors, which are based on reanalysing accident data. This article also presents a metamodel for assessing collision probability with initial vessel speeds for any given scenario where a chemical tanker is about to be struck by another vessel. Even when conducting a risk analysis using state-of-the-art methods, there is still a medium-high degree of uncertainty in the model presented in this article, which only becomes apparent when conducting a systematic uncertainty assessment analysis. However, an uncertainty assessment is an important part of quantitative maritime risk analysis. For this purpose, a qualitative framework for uncertainty assessment analysis is introduced for general use in the field of maritime risk analysis.


ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering | 2012

Collision Consequence Assessment of ROPAX Vessels Operating in the Baltic Sea

Kristjan Tabri; Sören Ehlers; Mihkel Kõrgesaar; Kaarle Ståhlberg; Martin Heinvee

A Ship collision accident represents a daily threat for vessels operating in dense traffic zones. The collision consequences may include loss of life or severe injuries if passengers are on board. The latter would be the case for ROPAX vessels, which are fairly dominant in the Baltic Sea connecting various member states. Furthermore, their routes tend to be in cross-traffic with the cargo vessels travelling through the full extent of the Baltic Sea. Therefore, it is of utmost importance to be able to assess the collision consequences for ROPAX vessels operating in the Baltic Sea with sufficient accuracy. This will result in an overview of possible damage scenarios for the actual traffic situation at a given location. As an example location the dense cross traffic between Helsinki and Tallinn will be analyzed and discussed.The analysis procedure combines three steps: (1) determination of possible accidental scenarios based on traffic statistics; (2) assessment of the structural resistance of the colliding ship and (3) the evaluation of selected accidental scenarios using a time-efficient semi-analytical approach. The level of structural resistance of the chosen ships is assessed in a quasi-static manner using finite element method. This information is the basis for the calibration of a semi-analytical collision simulation model used to simulate large number of the accidental scenarios typical to the selected location. The presented results will be limited to the initial choice between vessels and dimensions, respectively masses, but the procedure can easily be extended to cover a vast amount of colliding vessels. However, the actual collision risk can be obtained using the presented results if the traffic along the vessels route is known.Copyright


Ocean Engineering | 2012

Influence of impact scenario models on collision risk analysis

Floris Goerlandt; Kaarle Ståhlberg; Pentti Kujala


Marine Structures | 2013

Impact scenario models for probabilistic risk-based design for ship–ship collision

Kaarle Ståhlberg; Floris Goerlandt; Sören Ehlers; Pentti Kujala


Archive | 2010

Elements of risk analysis for collision of oil tankers

Jakub Montewka; Kaarle Ståhlberg; Tapio Seppälä; Pentti Kujala


TransNav: International Journal on Marine Navigation and Safety of Sea Transportation | 2012

Simplified Risk Analysis of Tanker Collisions in the Gulf of Finland

Floris Goerlandt; Maria Hänninen; Kaarle Ståhlberg; Jakub Montewka; Pentti Kujala


Journal of Global Research in Computer Sciences | 2012

Impact of Similarity Measures on Causal Relation Based Feature Selection Method for Clustering Maritime Accident Reports

Santosh Tirunagari; Maria Hänninen; Abhishek Guggilla; Kaarle Ståhlberg; Pentti Kujala


TransNav: International Journal on Marine Navigation and Safety of Sea Transportation | 2012

Uncertainty in Analytical Collision Dynamics Model Due to Assumptions in Dynamic Parameters

Kaarle Ståhlberg; Floris Goerlandt; Jakub Montewka; Pentti Kujala


Archive | 2012

Simulation model for evaluation of effectiveness of maritime SAR services

Floris Goerlandt; Bahare Torabihaghighi; Kaarle Ståhlberg; Jenny Jemli; Pentti Kujala


Archive | 2011

Estimating Spills Caused by Chemical Tanker Collisions in the Gulf of Finland Using Different Impact Models

Otto Ville Sormunen; Floris Goerlandt; Kaarle Ståhlberg; Jakub Montewka; Pentti Kujala

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Sören Ehlers

Norwegian University of Science and Technology

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Kristjan Tabri

Tallinn University of Technology

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Martin Heinvee

Tallinn University of Technology

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