Assessment of Damage to Structures and Equipment Resulting from Explosion, Fire, and Heat Events

2021 ◽  
pp. 134-145
Author(s):  
Adrian Pierorazio ◽  
Nicholas E. Cherolis ◽  
Michael Lowak ◽  
Daniel J. Benac ◽  
Matthew T. Edel
Keyword(s):  
Data Collection ◽  
Preliminary Data ◽  
Damage Assessment ◽  
Remaining Life ◽  
Heat Damage ◽  
Identification Evaluation ◽  
Damage Indicators ◽  
Level 3 ◽  
Level 2 ◽  
Heat Events

Abstract This article addresses the effects of damage to equipment and structures due to explosions (blast), fire, and heat as well as the methodologies that are used by investigating teams to assess the damage and remaining life of the equipment. It discusses the steps involved in preliminary data collection and preparation. Before discussing the identification, evaluation, and use of explosion damage indicators, the article describes some of the more common events that are considered in incident investigations. The range of scenarios that can occur during explosions and the characteristics of each are also covered. In addition, the article primarily discusses level 1 and level 2 of fire and heat damage assessment and provides information on level 3 assessment.

Integral Mean of Yield Concept Applied to Thermal Hot Spots: Validation of a Level 2 Damage Assessment Method

2018 ◽  
Author(s):  
Henry Kwok ◽  
Simon Yuen ◽  
Jorge Penso
Keyword(s):  
Hot Spots ◽  
Damage Assessment ◽  
Hot Spot ◽  
Load Capacity ◽  
Assessment Method ◽  
Pressure Vessels ◽  
Assessment Procedure ◽  
Element Analysis ◽  
Level 3 ◽  
Level 2

The overall framework for a Level 2 assessment of local thermal hot spot in pressure vessels was first developed by Seshadri [1]. The assessment procedure invokes the concept of integral mean of yield and the concept on a reference volume to determine the reduction of load capacity caused by hot spot damage. This paper investigates the accuracy of this assessment by comparing the results of the Level 2 assessment with a Level 3 assessment (inelastic finite element analysis). Three examples with varying pressure component and hot spot sizes are considered. The comparison yielded a low variance between the Level 2 and Level 3 assessments with the Level 2 assessment being more conservative.

scholarly journals HAMBATAN EPISTEMOLOGI PEMAHAMAN KONSEPTUAL BERDASARKAN TAKSONOMI SOLO SISWA

2020 ◽  
Vol 1 (1) ◽  
pp. 41
Author(s):  
Zhafirah Atiqah Utami, Atiqah Utami ◽  
Sugiatno Sugiatno ◽  
Romal Ijuddin
Keyword(s):  
Data Collection ◽  
Conceptual Understanding ◽  
Qualitative Method ◽  
Solo Taxonomy ◽  
Survey Form ◽  
Level 3 ◽  
Class Viii ◽  
Level 1 ◽  
Epistemological Obstacle ◽  
Level 2

This study aims to explain and describe the epistemological obstacle of students' mathematical conceptual understanding based on the SOLO taxonomy at MTs Negeri 2 Pontianak. This research uses a descriptive qualitative method with a survey form. The subjects of this research is 35 students in class VIII F MTs Negeri 2 Pontianak. Data collection techniques that used were test and and non-test. Data collection tools that used were conceptual understanding tests and interview. The results of data analysis from this study indicate that the epistemological obstacle of students' mathematical conceptual understanding based on the SOLO taxonomy from 35 students is 40% of students are in level 0 (prestructural); 11.43% of students are in level 1 (unistructural); 20% of students are in level 2 (multistructural); 25.71% of students are in level 3 (relational); and 2.86% of students are in level 4 (extended abstract). The obstacle of students that have at level 0 are all of conceptual understanding indicator. Students at level 1 and 2 have obstacles in indicators 2, 3, and 4. Students at level 3 have obstacles in indicators 2 and 4. Students at level 4 have obstacles in indicator 4.Keywords: Epistemological obstacle, Mathematical Conceptual Understanding, SOLO Taxonomy

Corrosion and Remaining Life Assessment

2021 ◽  
pp. 1-7
Author(s):  
Carlos R. Corleto ◽  
Michael Hoerner
Keyword(s):  
Oil Refinery ◽  
Life Assessment ◽  
Localized Corrosion ◽  
Remaining Life ◽  
Minimum Thickness ◽  
Failure Assessment ◽  
Level 3 ◽  
Remaining Life Assessment ◽  
Corrosion Under Insulation ◽  
Level 2

Abstract This article illustrates the use of the fitness-for-service (FFS) code to assess the serviceability and remaining life of a corroded flare knockout drum from an oil refinery, two fractionator columns affected by corrosion under insulation in an organic sulfur environment, and an equalization tank with localized corrosion in the shell courses in a chemicals facility. In the first two cases, remaining life is assessed by determining the minimum thickness required to operate the corroded equipment. The first is based on a Level 2 FFS assessment, while the second involves a Level 3 assessment. The last case involves several FFS assessments to evaluate localized corrosion in which remaining life was assessed by determining the minimum required thickness using the concept of remaining strength factor for groove-like damage and evaluating crack-like flaws using the failure assessment diagram. Need for caution in predicting remaining life due to corrosion is also covered.

scholarly journals Implementasi Proses Bisnis Dalam Upaya Penerapan Green Hospital

2017 ◽  
Vol 18 (2) ◽  
pp. 149
Author(s):  
. Sofiyanurriyanti
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Life Cycle Assessment ◽  
Damage Assessment ◽  
Fossil Fuel ◽  
System Quality ◽  
Level 3 ◽  
Single Score ◽  
Level 1 ◽  
Level 2

Rumah sakit merupakan institusi pelayanan kesehatan yang memberikan jasa pelayanan kesehatan untuk pelayanan umum, tempat berkumpulnya orang sakit maupun sehat. Lingkungan rumah sakit merupakan salah satu aspek yang juga perlu diperhatikan dan juga perlu dikelola dengan baik. Alur aktivitas proses bisnis merupakan kegiatan layanan utama terhadap penanganan rawat inap pasien IDEF0 level 1, proses bisnis tahap verifikasi dan registrasi level 2, menerima pasein dan memberikan tindakan medis level 3, rekomendasi rujuk rawat inap atau rujuk ke instalasi level 4, kegiatan operasional level 5 dan sampai pasien keluar rumah sakit level 6. Salah satu upaya pendekatan untuk mendukung pengelolaan lingkungan yang sehat, bersih dan ramah lingkungan adalah green hospital. Penerapan green hospital ini mencakup lingkungan yang berwawasan lingkungan hijau, efisiensi penggunaan air, energi listrik, penggunaan bahan material yang baik serta pengurangan limbah. Evaluasi dampak lingkungan dirumah sakit terdapat ada lima jenis kategori yaitu limbah medis, limbah non medis, limbah medis tajam, penggunaan air dan penggunaan listrik sedangkan untuk pengolahan data menggunakan software simapro. Penilaiaan dampak lingkungan ada beberapa langkah meliputi characteristization, damage assessment, normalization, weighting dan single score. Metode yang digunakan berdasarkan pada Eco Indikator 99 beberapa dampak lingkungan meliputi carcinogens, respiratory organics, climate change, radiation, ozone layaer, ecotoxity, acidification/ euthrophication, land use, minerals, dan fossil fuel. Sedangkan untuk menilai dampak lingkungan pada limbah dapat dilihat dari hasil life cycle assessment berdasarkan characterization, normalization weighting dan single score.dampak lingkungan yang dihasilkan dirumah sakit yang mempengaruhi human health sebesar 0.153209 Pt, eco system quality sebesar 0.178514 Pt, dan resources 0.359308 Pt.

UPAYA PENINGKATAN KEMAMPUAN MENULIS KATA SEDERHANA MELALUI METODE LATIHAN SISWA KELAS I SD NEGERI 014 PAGARAN TAPAH DARUSSALAM

2017 ◽  
Vol 1 (1) ◽  
pp. 16
Author(s):  
Rosmin Silaban
Keyword(s):  
Action Research ◽  
Data Collection ◽  
Preliminary Data ◽  
First Grade ◽  
Training Methods ◽  
Student Activity ◽  
Average Value ◽  
Students First ◽  
Academic Year ◽  
Data Collection Activity

This research is motivated by the lack of ability to write simple words first grade students of SD Negeri 014 Pagaran Tapah Darussalam Rokan Hulu. This study aims to improve the ability to write simple words first grade students of SD Negeri 014 Pagaran Tapah Darussalam, held for 1 month. The subjects were students of class I SD Negeri 014 Pagaran Tapah Darussalam academic year 2015/2016 the number of students as many as 7 people, consisting of 5 boys and 2 girls. Form of research is classroom action research. The research instrument consists of instruments and instrument performance data collection activity observation sheet form teacher and student activity. Based on the results of the study it can be concluded that the ability to write simple words can be enhanced through training methods first grade students of SD Negeri 014 Pagaran Tapah Darussalam. This statement can be accepted, because the students' ability to write simple words increased. Where known from preliminary data the average value of 59.3 or in the medium category. When viewed from the classical completeness, there is 28.6% or 2 students who completed gain value according to standards KKM, which is a minimum of 65. However, after the implementation of training methods, obtained an average value of 67.1 or higher in a category. When viewed from the classical completeness has reached 57.1%, or 4 students, but research has not been successful. Because this study was successful when 85% of students obtaining a minimum value of 65. While on the second cycle, to reach an average value of 80.7 or higher in a category. When viewed from the classical completeness, has acquired all of the students (100%). Thus, the researchers limited the study to the second cycle. Because of the results obtained was clear, that improve the students' first-class students of SD Negeri 014 Pagaran Tapah Darussalam in writing simple words.

Historical text archives and prosopography: the COEL database system

1998 ◽  
Vol 10 (1-3) ◽  
pp. 57-72 ◽  
Author(s):  
K. S. B. Keats-Rohan
Keyword(s):  
Research Tool ◽  
Direct Access ◽  
Specific Situation ◽  
Core Data ◽  
Secondary Sources ◽  
The Core ◽  
Level 3 ◽  
Full Discussion ◽  
Available Information ◽  
Level 2

The COEL database and database software, a combined reference and research tool created by historians for historians, is presented here through Screenshots illustrating the underlying theoretical model and the specific situation to which that has been applied. The key emphases are upon data integrity, and the historian's role in interpreting and manipulating what is often contentious data. From a corpus of sources (Level 1) certain core data are extracted for separate treatment at an interpretive level (Level 3), based upon a master list of the core data (Level 2). The core data are interdependent: each record in Level 2 is of interest in itself; and it either could or should be associated with an(other) record(s) as a specific entity. Sometimes the sources are ambiguous and the association is contentious, necessitating a probabilty-coding approach. The entities created by the association process can then be treated at a commentary level, introducing material external to the database, whether primary or secondary sources. A full discussion of the difficulties is provided within a synthesis of available information on the core data. Direct access to the source texts is only ever a mouse click away. Fully query able, COEL is formidable look-up and research tool for users of all levels, who remain free to exercise an alternative judgement on the associations of the core data. In principle, there is no limit on the type of text or core data that could be handled in such a system.

EVALUASI PELATIHAN DI PT. PUPUK KUJANG CIKAMPEK

2018 ◽  
Vol 3 (2) ◽  
Author(s):  
Lania Muharsih ◽  
Ratih Saraswati
Keyword(s):  
Training Evaluation ◽  
Work Productivity ◽  
Learning Behavior ◽  
Level 3 ◽  
Level 1 ◽  
Four Levels ◽  
A Company ◽  
Level 2 ◽  
Evaluation Sheet ◽  
Assessment Factor

This study aims to determine the training evaluation at PT. Kujang Fertilizer. PT. Pupuk Kujang is a company engaged in the field of petrochemicals. Evaluation sheet of PT. Fertilizer Kujang is made based on Kirkpatrick's theory which consists of four levels of evaluation, namely reaction, learning, behavior, and results. At level 1, namely reaction, in the evaluation sheet is in accordance with the theory of Kirkpatrick, at level 2 that is learning should be held pretest and posttest but only made scale. At level 3, behavior, according to theory, but on assessment factor number 3, quantity and work productivity should not need to be included because they are included in level 4. At level 4, that is the result, here is still lacking to get a picture of the results of the training that has been carried out because only based on answers from superiors without evidence of any documents.   Keywords: Training Evaluation, Kirkpatrick Theory.    Penelitian ini bertujuan mengetahui evaluasi training di PT. Pupuk Kujang. PT. Pupuk Kujang merupakan perusahaan yang bergerak di bidang petrokimia. Lembar evaluasi PT. Pupuk Kujang dibuat berdasarkan teori Kirkpatrick yang terdiri dari empat level evaluasi, yaitu reaksi, learning, behavior, dan hasil. Pada level 1 yaitu reaksi, di lembar evaluasi tersebut sudah sesuai dengan teori dari Kirkpatrick, pada level 2 yaitu learning seharusnya diadakan pretest dan posttest namun hanya dibuatkan skala. Pada level 3 yaitu behavior, sudah sesuai teori namun pada faktor penilaian nomor 3 kuantitas dan produktivitas kerja semestinya tidak perlu dimasukkan karena sudah termasuk ke dalam level 4. Pada level 4 yaitu hasil, disini masih sangat kurang untuk mendapatkan gambaran hasil dari pelatihan yang sudah dilaksanakan karena hanya berdasarkan dari jawaban atasan tanpa bukti dokumen apapun.   Kata kunci: Evaluasi Pelatihan, Teori Kirkpatrick.

Variation in antibiotic use across intensive care units (ICU): A population-based cohort study in Ontario, Canada

2020 ◽  
Vol 41 (9) ◽  
pp. 1035-1041
Author(s):  
Erika Y. Lee ◽  
Michael E. Detsky ◽  
Jin Ma ◽  
Chaim M. Bell ◽  
Andrew M. Morris
Keyword(s):  
Cohort Study ◽  
Intensive Care ◽  
Intensive Care Units ◽  
Ventilatory Support ◽  
Severity Of Illness ◽  
Antibiotic Use ◽  
Patient Factors ◽  
Days Of Therapy ◽  
Level 3 ◽  
Level 2

AbstractObjectives:Antibiotics are commonly used in intensive care units (ICUs), yet differences in antibiotic use across ICUs are unknown. Herein, we studied antibiotic use across ICUs and examined factors that contributed to variation.Methods:We conducted a retrospective cohort study using data from Ontario’s Critical Care Information System (CCIS), which included 201 adult ICUs and 2,013,397 patient days from January 2012 to June 2016. Antibiotic use was measured in days of therapy (DOT) per 1,000 patient days. ICU factors included ability to provide ventilator support (level 3) or not (level 2), ICU type (medical-surgical or other), and academic status. Patient factors included severity of illness using multiple-organ dysfunction score (MODS), ventilatory support, and central venous catheter (CVC) use. We analyzed the effect of these factors on variation in antibiotic use.Results:Overall, 269,351 patients (56%) received antibiotics during their ICU stay. The mean antibiotic use was 624 (range 3–1460) DOT per 1,000 patient days. Antibiotic use was significantly higher in medical-surgical ICUs compared to other ICUs (697 vs 410 DOT per 1,000 patient days; P < .0001) and in level 3 ICUs compared to level 2 ICUs (751 vs 513 DOT per 1,000 patient days; P < .0001). Higher antibiotic use was associated with higher severity of illness and intensity of treatment. ICU and patient factors explained 47% of the variation in antibiotic use across ICUs.Conclusions:Antibiotic use varies widely across ICUs, which is partially associated with ICUs and patient characteristics. These differences highlight the importance of antimicrobial stewardship to ensure appropriate use of antibiotics in ICU patients.

scholarly journals An Atmospheric Visibility Grading Method Based on Ensemble Learning and Stochastic Weight Average

Atmosphere ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 869
Author(s):  
Xiuguo Zou ◽  
Jiahong Wu ◽  
Zhibin Cao ◽  
Yan Qian ◽  
Shixiu Zhang ◽  
...  
Keyword(s):  
Ensemble Learning ◽  
Traffic Accidents ◽  
Feature Sets ◽  
Atmospheric Visibility ◽  
Average Accuracy ◽  
Level 3 ◽  
Visual Characteristics ◽  
Level 1 ◽  
Grading Model ◽  
Level 2

In order to adequately characterize the visual characteristics of atmospheric visibility and overcome the disadvantages of the traditional atmospheric visibility measurement method with significant dependence on preset reference objects, high cost, and complicated steps, this paper proposed an ensemble learning method for atmospheric visibility grading based on deep neural network and stochastic weight averaging. An experiment was conducted using the scene of an expressway, and three visibility levels were set, i.e., Level 1, Level 2, and Level 3. Firstly, the EfficientNet was transferred to extract the abstract features of the images. Then, training and grading were performed on the feature sets through the SoftMax regression model. Subsequently, the feature sets were ensembled using the method of stochastic weight averaging to obtain the atmospheric visibility grading model. The obtained datasets were input into the grading model and tested. The grading model classified the results into three categories, with the grading accuracy being 95.00%, 89.45%, and 90.91%, respectively, and the average accuracy of 91.79%. The results obtained by the proposed method were compared with those obtained by the existing methods, and the proposed method showed better performance than those of other methods. This method can be used to classify the atmospheric visibility of traffic and reduce the incidence of traffic accidents caused by atmospheric visibility.

scholarly journals Integrating structure and function: mapping the hierarchical spatial heterogeneity of urban landscapes

2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Yuguo Qian ◽  
Weiqi Zhou ◽  
Steward T. A. Pickett ◽  
Wenjuan Yu ◽  
Dingpeng Xiong ◽  
...  
Keyword(s):  
Land Cover ◽  
Spatial Heterogeneity ◽  
Urban Ecosystem ◽  
Tree Canopy ◽  
Urban Landscapes ◽  
Shenzhen City ◽  
Object Based ◽  
Level 3 ◽  
Industrial Zones ◽  
Level 2

Abstract Background Cities are social-ecological systems characterized by remarkably high spatial and temporal heterogeneity, which are closely related to myriad urban problems. However, the tools to map and quantify this heterogeneity are lacking. We here developed a new three-level classification scheme, by considering ecosystem types (level 1), urban function zones (level 2), and land cover elements (level 3), to map and quantify the hierarchical spatial heterogeneity of urban landscapes. Methods We applied the scheme using an object-based approach for classification using very high spatial resolution imagery and a vector layer of building location and characteristics. We used a top-down classification procedure by conducting the classification in the order of ecosystem types, function zones, and land cover elements. The classification of the lower level was based on the results of the higher level. We used an object-based methodology to carry out the three-level classification. Results We found that the urban ecosystem type accounted for 45.3% of the land within the Shenzhen city administrative boundary. Within the urban ecosystem type, residential and industrial zones were the main zones, accounting for 38.4% and 33.8%, respectively. Tree canopy was the dominant element in Shenzhen city, accounting for 55.6% over all ecosystem types, which includes agricultural and forest. However, in the urban ecosystem type, the proportion of tree canopy was only 22.6% because most trees were distributed in the forest ecosystem type. The proportion of trees was 23.2% in industrial zones, 2.2% higher than that in residential zones. That information “hidden” in the usual statistical summaries scaled to the entire administrative unit of Shenzhen has great potential for improving urban management. Conclusions This paper has taken the theoretical understanding of urban spatial heterogeneity and used it to generate a classification scheme that exploits remotely sensed imagery, infrastructural data available at a municipal level, and object-based spatial analysis. For effective planning and management, the hierarchical levels of landscape classification (level 1), the analysis of use and cover by urban zones (level 2), and the fundamental elements of land cover (level 3), each exposes different respects relevant to city plans and management.

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