Application of a simplified pyrolysis model to predict fire development in rack storage facilities

Markus, Ekaterina; Snegirev, A. Yu.; Kuznetsov, Egor; Tanklevskiy, Leonid

doi:10.1088/1742-6596/1107/4/042012

Cited by 7 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Its practical application is complicated by the fact that a large number of parameters (characteristics) for the material of a fire load should be known, which must be determined in advance for each specified object. Work [12] studied the processes of ignition of stacked wooden bars, which is why the practical applicability of the reported results is limited to the specific shape of fire-loaded material. At the same time, the application of results reported in [13] is limited to objects where only thick wooden structures are used.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Procedure for constructing a mathematical model to determine the time of the initial stage of fire evolution

Zhartovskyi

Тітенко

Kyrychenko

et al. 2021

EEJET

View full text Add to dashboard Cite

To develop appropriate measures and means of fire protection at facilities, it is relevant to form an idea of the phenomenology of the processes of the occurrence, evolution, and termination of combustion. This paper proposes procedures for building mathematical models of the energy component of those physicochemical processes that occur in wood under the influence of fire, which make it possible to determine the time from the beginning of such an impact to the onset of the phase of flame combustion. The adequacy of mathematical modeling was tested experimentally at a standardized installation for studying flame propagation over the surface of wood. The samples used for the reported theoretical and experimental studies were the specimens of unprotected wood made from 20-mm-thick pine sapwood with a density of 400‒550 kg/m3. The samples of fireproof wood (of the same variety, thickness, and density) were impregnated with a fire retardant based on diammonium phosphate and ammonium sulfate (at consumption of 168.2 g/m2 of dry fire-retardant components). The modeling employed the results from the experimental determining of the ignition temperature of unprotected and fire-proof wood, specifically: 235 °C – for unprotected wood, 410 °C – for fire-proof wood, respectively. The results of mathematical modeling and experimental studies confirm the possibility of significant lengthening of time from the onset of fire exposure to the ignition of fire load from wood when nitrogen-phosphorus impregnating agents are used for fire protection. Procedures of mathematical modeling have been proposed to build models for determining the cooling effect from the use of impregnating fire retardants to protect the wood on the prolongation of the stage of a fire start. Mathematical modeling data could be applied when making impregnating fire retardants

show abstract

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Procedure for constructing a mathematical model to determine the time of the initial stage of fire evolution

Zhartovskyi

Тітенко

Kyrychenko

et al. 2021

EEJET

View full text Add to dashboard Cite

show abstract

“…Â êà÷åñòâå àëüòåðíàòèâû óêàçàííûì ìîäåëÿì â íàøèõ ðàáîòàõ [14][15][16] ïðèìåíÿåòñÿ óïðîùåííûé ïîäõîä, îñíîâàííûé íà òåïëîâîé ìîäåëè âîñïëàìåíåíèÿ òâåðäûõ ãîðþ÷èõ ìàòåðèàëîâ. Â òåïëîâîé ìîäåëè ïðåäïîëàãàåòñÿ, ÷òî èìååò ìåñòî èíåðòíûé íàãðåâ ìàòåðèàëà äî äîñòèaeåíèÿ êðèòè÷åñêîé òåìïåðàòóðû ïîâåðõíîñòè (òåìïåðàòóðû âîñïëàìåíåíèÿ) è ïîñëåäóþùåå âûãîðàíèå åãî ñ ïîñòîÿííîé ñêîðîñòüþ ïîòåðè ìàññû.…”

Section: ââåäåíèåunclassified

“…Òåïëîâàÿ ìîäåëü ïðèìåíÿåòñÿ, â ÷àñòíîñòè, â ðàáîòå [16] äëÿ ðàñ÷åòà âðåìåíè çàäåðaeêè âîñïëàìåíåíèÿ. Â ðàáîòàõ [14,15] îïèñûâàåòñÿ âàëèäàöèÿ òåïëîâîé ìîäåëè ñ èñïîëü-çîâàíèåì ìîäåëè è êîäà FDS äëÿ ñïëîøíîé è äèñêðåòíîé ñîâîêóïíîñòè ãîðþ÷åãî ìàòåðèàëà. Ïðåèìóùåñòâî ðàññìàòðèâàåìîãî ïîäõîäà çàêëþ÷àåòñÿ â òîì, ÷òî äëÿ íåãî òðåáóåòñÿ îãðàíè÷åííîå êîëè÷åñòâî ïàðàìåòðîâ.…”

Section: ââåäåíèåunclassified

Simulation of flame spread over discrete fire load

Markus¹,

Snegirev²,

Kuznetsov³

et al. 2019

PVB

View full text Add to dashboard Cite

Ñàíêò-Ïåòåðáóðãñêèé ïîëèòåõíè÷åñêèé óíèâåðñèòåò Ïåòðà Âåëèêîãî (Ðîññèÿ, 195251, ã. Ñàíêò-Ïåòåðáóðã, óë. Ïîëèòåõíè÷åñêàÿ, 29) ÐÅÇÞÌÅ Ââåäåíèå. Ïîaeàðû íà âûñîêîñòåëëàaeíûõ ñêëàäàõ ñ äèñêðåòíûì ðàñïðåäåëåíèåì ïîaeàðíîé íàãðóçêè õàðàêòåðèçóþòñÿ ñòðåìèòåëüíûì ðàçâèòèåì, òðóäíî ïîääàþòñÿ ðàííåìó îáíàðóaeåíèþ è òóøåíèþ è ïðèâîäÿò ê ñóùåñòâåííîìó ìàòåðèàëüíîìó óùåðáó. Öåëü äàííîé ðàáîòû -äåìîíñòðàöèÿ ïðèìåíèìîñòè ìåòîäèêè ÷èñëåííîãî ìîäåëèðîâàíèÿ íà îñíîâå òåïëîâîé ìîäåëè âîñïëàìåíåíèÿ òâåðäûõ ãîðþ÷èõ ìàòåðèàëîâ äëÿ ïðîãíîçèðîâàíèÿ ðàçâèòèÿ ïîaeàðà íà âûñîêîñòåëëàaeíîì ñêëàäå. Ìåòîäèêà. Ðàñ÷åòû âûïîëíÿþòñÿ ñ èñïîëüçîâàíèåì ìîäåëè è êîäà FDS 6.6. Â òåïëîâîé ìîäåëè ïðåäïîëàãàåòñÿ, ÷òî èìååò ìåñòî èíåðòíûé íàãðåâ ìàòåðèàëà äî äîñòèaeåíèÿ êðèòè÷åñêîé òåìïåðàòóðû ïîâåðõíîñòè (òåìïåðàòóðû âîñïëàìåíåíèÿ) è ïîñëåäóþùåå âûãîðàíèå åãî ñ ïîñòîÿííîé ñêîðîñòüþ ïîòåðè ìàññû. Ïðåèìóùåñòâîì òåïëîâîé ìîäåëè ïèðîëèçà ÿâëÿåòñÿ åå ïðîñòîòà è èñïîëüçîâàíèå îãðàíè÷åííîãî ÷èñëà ìîäåëüíûõ ïàðàìåòðîâ: òåìïåðàòóðû âîñïëàìåíåíèÿ, óäåëüíîé ìàññîâîé ñêîðîñòè âûãîðàíèÿ, âðåìåíè âûãîðàíèÿ ìàòåðèàëà è òåïëîòû åãî ãàçèôèêàöèè. Ïðåäëàãàåìàÿ ìåòîäèêà ïîäáîðà óêàçàííûõ ïàðàìåòðîâ îñíîâàíà íà àíàëèçå ëèòåðàòóðíûõ è ýêñïåðèìåíòàëüíûõ äàííûõ. Â ñòàòüå ïðèâîäèòñÿ ðàñ÷åò ðàçâèòèÿ ïîaeàðà íà òðåõ-è ïÿòèÿðóñíîì ñòåëëàaeàõ ñ 2 ðÿäàìè êàðòîííûõ êîðîáîê (îáùåå êîëè÷åñòâî -2´4´3 = 24 è 2´4´5 = 40 êîðîáîê); ñèñòåìû àâòîìàòè÷åñêîãî ïîaeàðîòóøåíèÿ íå àêòèâèðóþòñÿ. Ðåçóëüòàòû è îáñóaeäåíèå. Ðàñ÷åòû ñ èñïîëüçîâàíèåì òåïëîâîé ìîäåëè ïèðîëèçà ïîçâîëÿþò âîñïðîèçâåñòè ñëîaeíóþ äèíàìèêó ðàçâèòèÿ ïîaeàðà, âêëþ÷àÿ ðàñïðîñòðàíåíèå ïëàìåíè ââåðõ ïî áîêîâûì ïîâåðõíîñòÿì è âäîëü ïî ãîðèçîíòàëüíûì ïîâåðõíîñòÿì êîðîáîê. Ïðèâåäåíû ïîëÿ òåìïåðàòóðû è ñóììàðíîãî òåïëîâîãî ïîòîêà íà ïîâåðõíîñòÿõ êîðîáîê, òåìïåðàòóðà è ñêîðîñòü ãàçà âíóòðè ñòåëëàaeà. Ïðè óâåëè÷åíèè êîëè÷åñòâà ÿðóñîâ ñ 3 äî 5 íàáëþäàåòñÿ óâåëè÷åíèå ñêîðîñòè ðîñòà ìîùíîñòè òåïëîâûäåëåíèÿ. Âûâîäû. Ïîëó÷åííîå ñîãëàñèå ðåçóëüòàòîâ ðàñ÷åòà ìîùíîñòè òåïëîâûäåëåíèÿ ñ äàííûìè íàòóðíûõ èñïûòàíèé ïîêàçûâàåò âîçìîaeíîñòü èñïîëüçîâàíèÿ òåïëîâîé ìîäåëè ïèðîëèçà äëÿ ïðîãíîçèðîâàíèÿ äèíàìèêè ðàçâèòèÿ ïîaeàðà íà âûñîêîñòåëëàaeíîì ñêëàäå. Ðàññìàòðèâàåìàÿ ìîäåëü ìîaeåò áûòü èñïîëüçîâàíà ïðè ðàçíûõ êîìïîíîâêàõ ïîaeàðíîé íàãðóçêè è âûñîòàõ ïåðåêðûòèÿ, à òàêaeå ïðè ïðîãíîçèðîâàíèè îáíàðóaeåíèÿ ïîaeàðà è äèíàìèêè ïîaeàðîòóøåíèÿ.Êëþ÷åâûå ñëîâà: òåïëîâàÿ ìîäåëü; ðàñïðîñòðàíåíèå ïëàìåíè; ñîâìåñòíîå ìîäåëèðîâàíèå; âûñîêîñòåëëàaeíûé ñêëàä; FDS.Ðàáîòà âûïîëíåíà ïðè ÷àñòè÷íîé ïîääåðaeêå Ðîññèéñêîãî íàó÷íîãî ôîíäà (ïðîåêò ¹ 16-49-02017) ñ èñïîëüçîâàíèåì ðåñóðñîâ Ñóïåðêîìïüþòåðíîãî öåíòðà "Ïîëèòåõíè÷åñêèé" (ÑÏáÏÓ).

show abstract

Application of the thermal pyrolysis model to predict flame spread over continuous and discrete fire load

Markus

Snegirev

Kuznetsov

et al. 2019

Fire Safety Journal

View full text Add to dashboard Cite

Application of a simplified pyrolysis model to predict fire development in rack storage facilities

Cited by 7 publications

References 11 publications

Procedure for constructing a mathematical model to determine the time of the initial stage of fire evolution

Procedure for constructing a mathematical model to determine the time of the initial stage of fire evolution

Simulation of flame spread over discrete fire load

Application of the thermal pyrolysis model to predict flame spread over continuous and discrete fire load

Contact Info

Product

Resources

About